I maintain that in the future, any person wishing to learn any skill (not just coding!) will need to willingly eschew the use of AI when learning until they have "built the muscles". The literature is clear that repeated, hands-on practice is really the only way to build skills.
I suspect the progression will be "No AI until intuition (whatever that is for that skill)" -> "Gradual use of AI to understand where it falls short" -> "AI native expert".
How to actually implement this at scale is still TBD ;-) Ironically, AI will be invaluable for this e.g. as a hyper-personalized tutor but it will also present an irresistible temptation to offload the hands-on practice. We already have studies indicating the former is helpful but the latter stifles mastery. At this point I can only see self-discipline as a mechanism to willingly avoid AI.
Unfortunately, our testing-oriented education system only serves to incentivize over-reliance on AI (Goodhart's Law etc.) None of our current institutions and processes are suited for what is already happening and will only accelerate from here on. Things will need to change radically.
For this reason, I once predicted apprenticeships will be a thing again, and already there are signs with Microsoft's preceptorship proposal: https://dl.acm.org/doi/10.1145/3779312
This is highly encouraging because a tech giant is not only acknowledging the problem, but proposing a solution. Not a complete solution by far but at least a start.
An apprenticeship is great for all sorts of reasons that AI can never touch, but I don't think abandoning AI will be necessary unless you aren't really motivated by a desire to understand and do the thing you are trying to learn. If you are, it is an incredible tool.
> The literature is clear that repeated, hands-on practice is really the only way to build skills.
The centuries of literature we have on this contrasts hands-on practice with theory: not actually doing the thing, but studying how other people do it, in order to gain knowledge that will be helpful when you get your hands into it.
This is different: this is like having a slave do it for you.
We know from history that the slave owners didn't know how to do the work. E.g. kings and feudal lords didn't know how to herd animals or raise grains, etc.
I learned Calculus despite having access to Mathematica, TI-89/92/CX-CAS, and WolframAlpha. I still had to do hundreds of derivations and integrations and manual manipulation of separable differential equations entirely by hand to learn it. But these tools made it easier for me to understand what I was doing wrong.
So, I agree with you, but it's also already been true for decades now with other tools.
Integration in calculus often required me to "guess" a strategy ahead of time. It was more similar to searching for moves in chess than solving long division. Some moves would make it easier vs. harder and some would seemingly be a dead end.
WolframAlpha usually got to the correct answer, but often used a non-human strategy for integration. Generally, the best way to do it was simpler than what WolframAlpha's "step-by-step" showed, which was rather "brute force" and inelegant.
So, again, I agree. But again, it's a matter of degree and encompassing more domains vs. a binary change.
It's a different degree sure, but it's a big enough leap I consider it a different thing. It's similar to paying someone to do your homework or write your essays. Your critical thinking approaches zero, which is really bad for education.
Not just education... it affects how people make decisions throughout life. In other words it makes a person ill-prepared to deal with the stuff that happens in life.
I think it all comes down to whether you want to learn something or have something. I can have an app in a few hours just like I can listen to a song on spotify. Or I can learn to code just like I can learn to play piano.
Junior devs have always been useless. You used to give them tasks that take them a week or two even though a senior engineer could do it in a couple hours, not because you wanted them to contribute, but because you wanted them to learn to contribute.
The same ethos makes sense with AI, it's just that every company is trying to avoid paying that training tax. Why turn a junior into a senior yourself if you can get the competition to pay for it instead.
It's interesting that the same dynamic is playing out on a much larger scale with children. A child is far more helpless than a junior engineer - at least a junior engineer can feed themselves, wipe their own butt, avoid destroying the room, and generally keep themselves alive. Everybody wants to offload the cost of raising children to parents, because the economic benefits aren't realized for 25+ years yet the costs are very substantial (frequently, at least one parent's full-time attention, costing them an income). Prospective parents are saying "fuck that shit" and simply choosing not to have children.
The long-term effects are going to be much like the effect of the software industry turning away from juniors: total collapse. When you have no workforce, you'll do no work - hell, there is just...nothing, nonexistence, no consumers either. But the fertility bust operates on a longer timescale (I think the software industry will start feeling the dearth of juniors in ~5 years, the economy as a whole won't feel the dearth of children for ~5), and it's far more fundamental. Rather than one industry disappearing, all industries will disappear, likely refactored into something that looks far different.
It also reminds me of those ecological predator/prey/locust models that I studied in calculus class, where population dynamics for many species have a tendency to overshoot the carrying capacity of the environment. Each individual in the population makes their own reproductive & survival decisions, but the sum total of them leads to population collapse and a near total extinction, followed by recovery once the survivors find resources abundant again.
>Prospective parents are saying "fuck that shit" and simply choosing not to have children.
Or in other words, they've been priced out of the market.
If there will be no sociofinancial niche for their children to inhabit this is in fact the rational course of action. See also: South Korean current birth rates.
Also sort of. Some form of social organization seems to be necessary for humans to function. But humans are also pretty good (well - relatively speaking, it usually seems to require a war or revolution) at changing that form of social organization as technology, population, and environmental conditions change.
I think this is a very likely outcome. We aren't going to get continued population growth next generation; a significant number of the people needed for it will never be born. This is going to have ripple effects across wide swaths of political and economic organization. But you'll have pockets of population that basically barricade themselves off from the wider economic world and insulate themselves from its collapse, and then the people within them, along with whatever form of social organization they happen to adopt.
The Birthrate dropping has multiple causes, none of them have any relation to the topic at hand
It's a negative (from the perspective of reproduction) confluence of both social and economic developments.
E.g. the death of the traditional gender roles has inevitably reduced birth rates - for multiple reasons to boot. Because on the one hand, the women has am easier time not to commit and just sleep around, consequently becoming uninteresting to men that would've preferred to make a family... But also because biologically, men are more attracted to demure women, which on average will ultimately remove even more attraction, consequently removing even more likelihood of families being built.
But that's once again only one factor, you got others too... Like stagnant wages, which force younger people too abstain from making a family simply because the financial situation doesn't allow for it. And if it happens anyway, it's more then likely to end in a broken family instead of something positive
Another factor is the availability of choice. Dating apps are available, statistically women all try to get into a relationship with the same 1% of men - who sleep around and cause toxicity all around. The remaining 99% become bitter and consequently... Are even less attractive to women.
Just to be clear, in case someones brain has completely rotten through and interprets any blame into my comment: neither sex is responsible for this. Our society just decided to move on from gender roles, for supposedly economic reasons.
The consequences are felt both for women and men, with both feeling less valued and miserable on average. Which understandably makes them less attractive to the other sex again.
Still not a full list of factors at play btw, there is also the builtup of micro plastics in the men's balls, harming sperm production along with normalization of pornography, reducing the sexual frustration of people and consequently making them less driven to find partners. There is also the influencer industry, purposefully encouraging para social relationships, satisfying the social urges of a lot of people, consequently reducing the likelihood of them seeking out friendships... Reducing the likelihood of meeting other people and thus reducing the likelihood of getting a natural relationship through that.
Third places have also mostly vanished, likely related to multiple of these effects to etc pp
> statistically women all try to get into a relationship with the same 1% of men - who sleep around and cause toxicity all around. The remaining 99% become bitter and consequently... Are even less attractive to women.
As a regular 30s dude, definitely not 1% by any measure, app dating had its rough spots but generally was a good time, I experienced no bitterness.
Instead I met a bunch of interesting people and found my partner. We now own a house and are talking about kids.
The real toxicity here is the idea that women at large are somehow responsible for anyone's lack of dating success.
For anyone reading this who might be dating and feel disheartened- the hard truth is that you have two options: you can either blame the group of people you're trying to attract for having faulty preferences, or you can reflect and work on yourself and your approach. Only one of these has any chance of helping you.
One thing I do agree with you on: bitterness is extremely unattractive.
For context, I don’t want this to sound bitter. The first time I was single as an adult was from 1996-2002 and dating apps weren’t a thing. The second time I was single was from 2006-2011 and I wasn’t really trying to date and spent most of the time getting my head back in the game and just hanging out with female friends until I started dating my now wife who I met at work. Even she had to make the first move.
That being said as five foot four guy, the chance of me having any success on a dating app at the time from everything I know would have been basically 0 no matter what. “Working on myself” would have done no good. I was objectively in great shape as a part time fitness instructor and I just run my first (and last) two half marathons before I met my wife.
Some guys just haven’t won the genetic lottery to succeed on dating apps. Again I’m not bitter as one of the relatively few straight male fitness instructors, it wasn’t hard to date during my first stint of singleness
FWIW, one of my (male) friends is about 5'2" and met his wife on OKCupid. She's about 4'10".
Dating is kinda like founding a startup or getting a job, in that you have to kiss a lot of frogs, but you only need to succeed once. The point's to eliminate all the unsuitable prospects in the pool and find the one that is a match for you.
Perhaps there's a constructive version of this because I agree with the sentiment but it's a little harsh - dude is obviously feeling very betrayed and left out of society and either falling down the incel tunnel or doing recruiting for it.
There's some fallacies here like "anyone not acting in stereotypical Protestant gender roles must therefore be recklessly promiscuous" and that if some people don't want to have kids with some women then therefore -nobody- will do it.
Good luck out there everybody - the world changes in fascinating ways and it can definitely run some folks over but try not to get jaded and fall down a despair spiral.
> There's some fallacies here like "anyone not acting in stereotypical Protestant gender roles must therefore be recklessly promiscuous"
That fallacy isn't in there.
Also, I would like to point out that almost all women have had more then 0 sexual partners before wedding. Hence your statement would actually be kinda correct of you remove the "recklessly". And that's definitely another contributer to declining birth rates/families - because neither of them will feel remotely as committed to each other then they would've otherwise.
None of these are singular causes. They're all contributing to the whole situation. Which is precisely why I never made any such fallacy in my earlier comment.
> Also, I would like to point out that almost all women have had more then 0 sexual partners before wedding. Hence your statement would actually be kinda correct of you remove the "recklessly".
Having premarital sex is not everyone's definition of "promiscuous".
> Also, I would like to point out that almost all women have had more then 0 sexual partners before wedding
By the 1700s the pregnant before marriage rate was roughly 30%. So about a third of all women in the 1700s had premarital sex that resulted in pregnancy. So the actual rate is of course even higher.
A lot of those marriages are a direct result of the pregnancy, too - one thing that did happen was the couple being pushed into marriage ASAP when the pregnancy was discovered.
They’re not completely wrong though. Data does show clearly that online dating has extremely lopsided behaviors. Women really do tend to message the top cohort of men by attractiveness much more so. Men have a more expected distribution. I think that causes a lot of men to really resent dating and women because they struggle and put in enormous effort and get nothing back. Online dating is a very toxic modern invention.
> Junior devs have always been useless. You used to give them tasks that take them a week or two even though a senior engineer could do it in a couple hours, not because you wanted them to contribute, but because you wanted them to learn to contribute.
I don't know, I've known kids who can run circles around a lot of seniors, whether it's knowledge, coding chops or just intuition. The reason a newcomer takes a week to complete a task that requires two hours is because the senior has already learn all the ins and outs of the crappy software lifetime processes (usually dealing with half broken build / code review / ticket systems)
> The same ethos makes sense with AI, it's just that every company is trying to avoid paying that training tax.
Last time when a junior dev was added to my team I had a similar thought. But then talking with management I was informed that things went beyond just training.
The company had a social responsibility pledge and understanding with the local educational institutions. They had to pledge to be part of the internship and hiring activities every year. The company could not chose to be fair weather friends and try to recruit people only when they saw fit.
The other aspect was cost. A team made of only senior engineers was costly.
The last aspect was leveling up. Unless the company has lots of levels the team might end up lots of engineers at the same level. And with the inverted funnel nature of promotions it meant some engineers might end up waiting years for the promotion.
So, it was better to have teams with some junior, intermediate and experienced engineers. That way costs and promotion flows were controlled.
Now with AI the impact might go beyond junior devs. I see even the intermediate devs being impacted. It is more likely that companies think they can replace say 1 junior + 1 intermediate with 1 junior dev with AI. Or something along those lines.
This kind of flippant approach is equally valid as "just use ai", "let other companies train the juniors", and "don't give promotions just hire new juniors + ai". All of these have obvious problems from their overly myopic viewpoint.
How is that flippant? I went from an “architect” over the entire cloud developmrnt strategy at a 60 person startup making $160K in 2020 to working at AWS ProServe making $220K (cash + signing bonus + RSUs) as an L5 (mid level - no longer there). Do you think I cared about my title?
I said just the opposite - hire fewer seniors + AI and don’t hird juniors.
I’m now a staff level employee again at a 3rd party consulting company working with small and medium businesses (my preference) after taking a detour in BigTech from architectural roles at smaller companies. My quarterly strategic goals were a combination of what the CxO’s/directors defined and what I defined was in the best interest of the company. None of those goals had anything to do with larger societal issues.
What’s the importance of then learning to contribute if they will probably jump ship anyway when they get good enough? Your HR department is not going to give them a market rate raise to keep them - see salary compression and inversion. A junior developer just isn’t worth the investment.
I have never once told my manager “it would be really nice to have a few junior developers. It would really help us get this project done on time”. They do “negative work”.
Yes not having juniors become seniors is an industry problem. But my goal is to reach my company’s quarterly and anual goals - not what’s going to happen 10 years from now.
> I have never once told my manager “it would be really nice to have a few junior developers. It would really help us get this project done on time”. They do “negative work”.
I have. A good junior can do in a week what a senior with domain knowledge can do in a half day, with only an hour of mentoring along the way. This isn’t a great exchange rate per dollar (juniors are cheaper than seniors, but not that much cheaper) — but seniors with domain knowledge are a finite resource, you can’t get more of them for love or money, while juniors are fresh-minted every semester. The cheapest way to shipping may not go through juniors, but the fastest way usually does; and that’s completely ignoring the HUGE side benefit of building seniors “the hard way,” which is still easier than hiring.
And as a senior+ with domain knowledge, with AI I can do the work of two juniors without the communication overhead + do all of the project management, dealing with stakeholders, etc.
But you don’t build seniors, you build capable mid level ticket takers who jump for more money at the first opportunity.
How is that true? As an architect when I was working at product companies, the director/CxO wasn’t going to call the junior developer to the carpet for not getting a task done or even the mid level ticket taker. Hell they don’t even know what the individual tasks are. I’m going to be the one ultimately responsible either way for project success.
Even when I was working at AWS as a mid level/L5 in the Professional Services division (lower title/lot more money), I was the one who was responsible for my “workstream” on larger projects. I couldn’t say “that’s not my fault. Blame the new L4 junior consultant who just got out of the internal boot camp for new grads”.
Now that I have moved back up to a more senior position in consulting, if a project I’m leading goes sideways, I can’t tell the customer that it’s not my fault, it’s the fault of the workstream leads and the workstream leads can’t tell me, it’s the fault of the more junior consultants who work under them. They will never talk to the client. The people under the workstream leads may not even speak English.
And that’s not meant to be an insult. The workstream leads have to he able to speak passable English and they can work with people under then who only speak Spanish.
Its not about treating them well. The environment and culture isnt the problem. Its that tech companies have decided that they dont like giving appropriate raises to current employees. They are somehow fine with paying the same or more money to bring in an equally qualified external hire. But not with retaining people. Idk why, maybe some stupid MBA rule, mayne theres some good reason behind it
The problem is that (hypothetical) you as a line level manager don’t control comp and raises. Even in BigTech your manager doesn’t control your promotion and everyone knows it’s better to “boomerang” because you will get paid less being promoted to an L5 (mid) from an L4 than someone hired as an L5.
>What’s the importance of then learning to contribute if they will probably jump ship anyway when they get good enough? Your HR department is not going to give them a market rate raise to keep them - see salary compression and inversion.
Obviously that hasn't historically been true, else there wouldn't be any senior developers as companies would have wised up to that and nobody would hire them as juniors.
- Not everybody is a job hopper (even in Silicon Valley one sees that most junior FAANG devs stick around for a good while).
- The HR department is absolutely going to give junior developers that pass the cut after a year or so a market rate raise.
- In limited hiring periods, they'd be grateful to have the chance to stick around, while in bullish "boom" periods companies can afford to spend to keep people, expand and give them bigger roles, and so on. It's in the in-between that it becomes more problematic, but now we're in a "limited hiring" era.
>Yes not having juniors become seniors is an industry problem. But my goal is to reach my company’s quarterly and anual goals - not what’s going to happen 10 years from now.
That's how companies fail.
It's also not a good strategy at the personal level. If you command more devs, you get more leverage.
This is not true - the average tenure for a developer across the industry has been 3 years for well over a decade.
> The HR department is absolutely going to give junior developers that pass the cut after a year or so a market rate raise.
This is also not true from small companies to FAANG - see “salary compression and inversion”
> That's how companies fail.
The company failing in the long term is really not any current employees main concern unless you are a founder if the average tenure is 3-5 years. Even the stock market doesn’t care about the long term viability of a company.
BigTech for instance can afford dead weight. Amazon has an internship program and for those who come back or through their non traditional programs for their internal consulting division (AWS Professional Services) they have a 3 (6?) month training program.
In ProServe at least (former employee) even for their l5/L6 employees, they have the 3 month training program - “AWSome Builder” where you simulate a customer project and have to pass.
After leaving AWS and being hired as a staff consultant by a third party company, they put me on a plane two weeks in to meet with a customer. They don’t even hire less than senior+ people in the US.
If the median tenure is 3 years and the software business still is very profitable then people must be net useful within that 3 years. A lot of people also just don’t want to job hop much and honestly the interview culture keeps me from hopping more. I do still fall in the 3 years per hop but I’ve always had a good reason to- ie. layoffs, company going in a worse position than when I started, shit management at various levels, forever compounding responsibility…
>This is not true - the average tenure for a developer across the industry has been 3 years for well over a decade.
That counts temps, people who weren't a good fit and were let go early after hiring, mass layoffs, and mixes mixes startups and FAANG and consulting churn, none of which is the typical corporate IT worker scenario, and all of which bring the average down (but are not "hopping").
Corporate IT, government IT, smaller SMEs, and stable SaaS, have higher averages.
That counts people who weren't a good fit and were let go early after hiring, mass layoffs, and mixes mixes startups and FAANG and consulting churn, none of which is the typical corporate IT worker scenario, and all of which bring the average down (but are not "hopping").
Corporate IT, government IT, smaller SMEs, and stable SaaS, have higher averages.
The main problem with having only seniors is that seniors have many many blindspots. Just by the nature of being there a while, they've built up hundreds of automatic processes that allow them to ignore or work around bad things at the company. In terms of code, tech, relationships, product vision, etc. It's the same reason why telling engineers to QA their own shit is a recipe for disaster. You need fresh perspective.
Who would better be able to see those blind spots - a junior developer with no experience or a mid level or senior developer coming in with a fresh set of eyes?
A junior, they have no baggage. Most software is unbelievably bad - almost all those seniors are come from products and companies that are horribly mismanaged, just in different ways. Or, maybe, the same way.
> But my goal is to reach my company’s quarterly and anual goals - not what’s going to happen 10 years from now.
Your benefiting from the work of peopke who did worry about what will happen 10, or even 20 30 years down the line. People like you are why the rides gonna stop
It’s telling that OP worked at Amazon because this pretty much sums up the culture there - new grads churning through and burning out in two years while a few seniors stick around and perpetuate the cycle.
I was 46 when I was hired and it was my 8th job out of college. I was far from a naive college grad. I went in with a purpose - keep my head down for 4 years through my initial four year package, put it on my resume, build a network and leave for a smaller consulting shop.
In fact the only reason I got my job there was because a recruiter reached out to me about an SDE job on the retail side. There was no way in hell that I was going to sell my big house in the burbs of Atlanta (at the time), uproot my life after Covid and work for Amazon. I knew what I would be getting into.
She then told me about a “permanently remote”,”field by design” role at AWS ProServe. I was like sure why not?
It doesn’t make sense to hire juniors at all other than as a service to society. I haven’t hired a junior in 4 years. The one I hired 4 years ago was because not only did he do reasonably well on the interview but he literally begged me because he trained himself to do it while painting houses so I saw a lot of passion in him.
So exactly what is the point for a profit seeking company to train someone except thsr you expect them to bring you more business value than they cost during their tenure?
This is the difference between being an engineer and being a clock puncher. You don't care about the business, you don't care about the product, you don't care about society as a whole. So long as you get your paycheck and your annual pay bump, fuck absolutely everyone and everything else, right?
Don't worry, just leave all your problems for someone else to fix. I'm sure that won't have any lasting consequences at all.
I work for one reason and one reason alone - to trade 40 hours of labor for money to support my addiction to food and shelter. The company is not going to give me money for “caring about society”. They are going to give me money to meet my quarterly goals to help them meet their profit goals for the company and in a former life , to make them look good for the public market pre-IPO and at another company for an acquisition.
I give a company 40 hours a week and all of my 30 years of industry experience and they give me money (and in a former life RSUs)
Sweet summer child. I was once opinionated and driven as you are now. I remember when I got out of college, I also thought like that of the mediocre clock punchers.
Now at my 45 years, I couldn't care less for whatever grand objective the current company I work for has. I exchange my knowledge and time for hard cash, and let the owners , ceo and whatnot run with their grandiose vision.
Funny enough, the more I got into this mindset, I slept better, made more money, and got more autonomy.
Once directors and CxOs know that you are completely aligned with the business goals and ignore everything else that “doesn’t make the beer taste better”, they trust your judgement and basically leave you alone.
More money for me until I retire - well actually I’m past the point where I chase more money - and then after that - it’s not my monkey and not my circus.
Again HN bubble thinking. Most developers in the US are working at banks, airlines, insurance companies, etc in second tier cities - in the “enterprise” and are not making “$400K”. Most developers will never in their career see more than $175K inflation adjusted and I really haven’t seen comp on the top end increase in nominal terms in a decade [1] for enterprise devs.
That leads to my second point, in second tier cities, you see comp go from around $80K —> $115K -> $150K —> $175K, junior -> mid (pull well defined tickets off a board) -> Senior (leads larger initiatives) -> Senior+.
For instance look at what Delta airlines pays based on Atlanta.
Strongly disagree with this. Bad junior devs might be useless, but I’ve seen good ones absolutely tear through features. Junior devs fresh out of school typically have tons of energy, haven’t been burned out, and are serious about wanting to get work done.
Some of you folks think way too highly of yourselves. Junior devs are awesome. You tell them what needs doing, if it's not well defined you have them write a document to figure it out, and then they churn away at it and will often surprise you with a brilliant solution.
Meanwhile, I've never once seen a coding agent give a brilliant solution or design to just about anything, and anything with the barest whiff of undefined-ness will simply zero in on your existing biases.
This whole thread reads like absolute insanity to me. I love getting new junior devs. They do great work.
Or do the same for IAC - same surface area - and use Terraform on one project, CloudFormation on another, and the CDK on a third and to generate code for you when you give them the correct architecture. It took me a day to do that before AI depending on the architectural complexity and I know AWS well (trust me on this). How long would it take me to delegate that to a junior dev? It took ChatGPT 2 minutes before I started using Claude just by my pasting a well labeled architecture diagram and explaining the goal.
It took me about 8 hours total to vibe code an internal web tool with a lot of features that if I had estimated before AI, I would have said a mid level developer would have taken two weeks at least. It wasn’t complex - just a CRUD app with Cognito authentication. How long would it have taken a junior developer?
Design a concurrency implementation? I sure hope they would spend more than 3 minutes on it! Concurrency lends itself to subtle bugs even when experts write it.
I'd gladly take a junior dev to do any of that work there, because they can think for themself and not hang onto any bias you unknowingly build into the prompt like it's a religion.
I can absolutely guarantee you that a junior dev or even a senior dev could do complicated IAC as fast as AI. It isn’t that knowing the architecture is the problem, it’s just very tedious. You have to look up all of the properties involved for each service and each property of each resource. I trust AI to know proper AWS architecture from being trained on the total corpus of the internet more than a junior dev.
The one reason I can't care about these kind of arguments is that you're describing the solution, not the problem. Based on my career (maybe shorter than yours), usually you put juniors on projects of low complexity and low impact while you play the mentor role. It's not about them being a productive worker or a menial helper, it's for them to train using practical projects. Your problems don't look like suitable projects unless you want them to train them in copy-pasta from the Internet.
Junior - everything is spelled out in excruciating detail, the what and the how. They are going to be slow, not know best practices, constantly bug other developers and you srs going to have to correct them a lot.
Mid level developer - little ambiguity on the business case or their role in it. They are really good coders in their domain. They have the experience to turn well defined business requirements into code. You don’t have to explain the “how” to them just the what. They should have the ability to break an assigned “epic” based on the business requirements to well defined stories and be a single responsible individual for that Epic maybe working with juniors depending on the deliverable or other mid level developers.
A senior developer works at a higher level of ambiguity and a larger scope, the business may know they want something. But neither the business or technical requirements are well defined. Think of a team lead.
Senior+ - more involved with strategy.
If I have to define everything in great detail anyway, why not just use AI? It can do it faster, cheaper, more correct and the iteration is faster. I would go as far as saying in my recent coding agent experience, a coding agent is realistically 100x faster than a junior developer since you have to give both of them well defined tasks.
My experience with Claude code and codex recently is that even the difference between a mid level developer and a coding agent is taste when it comes to user facing development, knowing funky action at a distance, and knowing the business, with a mid level developer you can assume shared context and history with an ability to learn.
So again, why do I need to hire a junior developer in the age of AI?
As an Entry Level Engineer, you’ll be expected to develop and maintain lower complexity components under the guidance and tutelage of more experienced team members.
That does not really contradict my point.
> If I have to define everything in great detail anyway, why not just use AI?
You don't have to define everything. And to do so is detrimental to their growth. If you're their mentor, you're supposed to give them problems, not recipes. And guidance may be as little as an hint or pointing them to some resource, not giving them the solution outright. The goal is not to get a problem solved (that's just a nice-to have), the goal is to nuture a future colleague.
Why should I hire a junior who doesn’t know the what or the how. Instead of hiring a mid level developer who could be an excellent developer who can turn business requirements into code and is more than likely better at certain things than I am since they live and breathe it everyday and can both do the work without supervision and can offer valuable advice and say something that might convince me that I didn’t think things clearly?
Reminding you that the difference above a mid level developer and a “senior”/“senior+” is scope and ambiguity not necessarily technical depth in one area.
What does a junior developer bring to the table that I should use my open req on?
And it’s not a waste of their time to have to give detailed requirements and troubleshooting steps to a junior developer, constantly being interrupted, and then having to check their work thoroughly?
If you have to be that detailed anyway - you might as well use AI.
So exactly how am I going to convince my management to open a req for a junior developer who is not going to help us meet our quarterly goals and take time away from the other senior developers that will either have to work longer hours or do less work?
I’m not going to work as a charity and neither are any of my coworkers. We are all here to exchange labor for money.
We as a collective need to convince our management of this, but that needs to start with people getting their heads out of their asses and working together instead of this mercenary attitude you have
I don’t have to do anything except keep my head down, do my job and enjoy my well earned autonomy. I’m definitely not going to try to convince my skip, skip, skip manager to change their hiring policies. It’s not like my line level manager has any power over anything
Even when I was at a startup before 2020 and I did have the ear of the CTO and the founders I knew my ultimate mission was to do what was needed to get acquired and before that I knew exactly what my mission was when k was hired to lead the tech initiatives as we were acquiring companies “find efficiencies” and go public.
Or do you think I could have convince anyone of anything as an L5 at AWS in the middle between architect at a startup and my current company?
Your getting unnecessarily down voted by devs who want to feel morally superior, but don't have any concrete answer to the conundrum you've posed.
It's about money, and the actual solution would be to lower pay at senior level and give it to juniors, with some lock in agreed by the junior in exchange for this grace.
They're getting downvoted because they are a miserable misanthrope, and it is our responsible as people in a society to punish obviously antisocial behavior.
I’ve had some who are useful almost out of school. The amount of tickets is always growing and have someone pick up those “when things calm down I swear I’ll address this” tickets is always helpful. If they can’t get anything done by themselves in the codebase then it gets much harder. I do also think that some people have completely forgotten all the context they didn’t have when they started off xx years ago so mentoring is not always very good
Yep. This is why many companies have a terminal level with “up or out “ rules. Before that level you are not fully independent and require too much supervision. No one wants a Jr engineer with 10 years of experience.
I see a lot of Sr engineers get very frustrated by how much time they have to spend helping Jr engineers. But, that’s the job, or at least a big part of it.
I burnt out helping a junior on my team for the past few months. It was just terribly obvious she was feeding my responses directly into a chatbot to fix instead of actually understanding the issue. I can’t really even blame her, there isn’t much incentive to actually learn
I've been in situations like that. For me, it's like interviewing, I just keep backing off, lowering the bar, making it easier and easier until they can get it, then start going back up again. I pretty quickly get a confident read on where they are.
If at that point it's clear (to me) the situation is not salvageable, it's a management issue, I've done my job.
Agreed. We are still in a capital crunch so overhiring is out of fashion. People don’t remember the early 90s or the dot.bust when the same things were said.
Kraft 1977 Programmers and Managers talked about this if I recall. Still the best alternate take on our industry I have ever read.
The most likely explanation for "AI layoffs" is not that AI has caused a dramatic jump in productivity - its more that managers are running out of creativity in relation to revenue-generating and cost-reducing projects and henceforth have no use for the surplus of labour. Its much easier to maximize the stock price in the short-term by riding the 'AI' wave.
There seems to be some nonsensical belief that there exists this endless stream of positive NPV projects to take. No... reality is not like that.
I’ve gotten plenty of use out of junior devs. The critical bit is what makes anyone a useful worker. I’ve found anyone that’s both dedicated and meticulous is worth the investment.
Sure there’s a wide range of skills and you can’t just hand any task to anyone and expect it to work out but some fresh collage graduates are more capable than the average person with 5 years of professional experience. At the other end you need to focus on whatever they actually are capable of doing. 40+ hours a week can slowly expand even an extremely narrow skillet as long as they’re a hard worker.
You don’t want 3 Jr devs at the same time because of diminishing returns. Most projects have grunt work where attention to detail is important but experience doesn’t really help much. AI can quickly come up with alt text for images, but ensuring it’s actually useful for someone using a screen reader is a different story.
1 new Jr every 2 years works quite well for a team of 7+ developers.
And that junior dev will probably leave in 2 years because HR won’t allow you to give them a raise to match their market comp.
But with a team of 7, I can’t believe that giving them all a Claude Code subscription wouldn’t be much cheaper and much more productive than hiring a junior. A junior though with AI is more dangerous than a junior without.
Working on problems that are a poor fit for a mid level developer with AI assistance of which there are still plenty.
I find AI tools make everyone better at exactly the same kind of problems, which means a larger percentage of what’s left over is more cheaply done by Jr’s working without AI assistance.
A mid level developer is just a ticket taker. That’s their job. No matter what their title, if they are just pulling well defined tickets off the board, that’s what they are.
How exactly do some people leverage AI to rearrange the furniture in the conference room for an office party?
Physical labor may be a tiny fraction of what a team of developers do, but I’ve seen what amounts to several thousand dollars spent on that kind of silly task because teams leverage the tools they have.
You just replaced one task that an AI is useless for with a different task that an AI is useless for.
The point obviously still stands, and no I am not suggesting using Jr devs for physical labor alone is worth adding them to the team. Rather that “Work” includes a very wide variety of tasks that need to get done.
> I find AI tools make everyone better at exactly the same kind of problems
this part I find fascinating. most places I worked (30 years in, 10 as a contractor so quite a lot) the distinction between Jr, Mid and Sr falls exactly into the kind of works that they do. I, as a Senior, often work on hard shit, Jrs are not (yet) entrusted with those problems and work on entirely different set of problems. I cannot compute how AI makes everyone better at exactly the same kind of problems, problems I am solving today few people on my team are working on and then same goes down the "pyramid"
I’m not saying everyone on the team is doing the same kind of work, rather the kind of work that LLM’s make people better at become less relevant when a bunch of people have access to them.
Automation always runs into diminishing returns for similar reasons. If 99.99% of a workload is embarrassingly parallel, what remains becomes important once you can throw enough cores at the problem.
You’ll see a guy in a multi million dollar crane lifting multi ton objects and then people using ropes attached to that same load for final positioning etc. What you don’t see is people using ropes to lift bricks 20 stories by hand as the crane lifts multi ton pallets of bricks as automation is taking care of that kind of task.
> Junior devs have always been useless. You used to give them tasks [...] not because you wanted them to contribute, but because you wanted them to learn to contribute.
Junior devs are by your own explanation not useless. They are the most important human investment in your project.
I mean, if we’re doing this, let’s be honest and go as far as mid-level engineers whose work needs constant correction, as well as the many, many senior engineers out there who are senior only because they lucked out in getting the title during the artificial dev scarcity of the ZIRP eras.
> Why turn a junior into a senior yourself if you can get the competition to pay for it instead.
Reminds me a bit of the quote
The manager says "what if I train them and they leave?" And the response is "what if you don't and they stay". Leaving unskilled and underdeveloped people in you organization is a recipe for disaster.
I think the idea of 'junior' needs to be refined a bit. By the time I got my first job I've been coding for years, and have built rather substantial things.
In fact, in terms of pure coding ability, I was probably past the initial, fast part of my growth.
As should have others, which the university education system should have made sure.
The fact that some people come out of 4+ years of software engineering education utterly clueless means that they somehow managed to dodge having to build anything, I think means that they will never get good at any point in time, as they either were very talented at dodging having to build things, and I don't think that talent is going to abandon them, or they couldn't really grasp the basics in an environment designed for just that.
With that said, I think you can see for most juniors, what you can expect out of them in terms of pure coding ability - sure a lot of them have room to grow, but I've met so many great people who were very young, yet were useful from day one.
In fact, if you have the willingness to grind away at some problem, that puts you ahead of a significant amount of the pack. I have had the misfortune of working with people who lacked any demonstrable skill, and had coping strategies for having to deal with any sort of hardship. Getting useful work out of them was a challenge in of itself.
These people managed to get the years in to be considered senior, and are probably dispensing their wisdom 'mentoring' juniors somewhere else, and are no longer expected to actually contribute to meaningful issues.
I'm not sure if enthusiasts are the exception rather than the norm? I've noticed in the last few years, a lot of junior engineers do not have much active coding experience outside of their university education, they aren't the traditional "obsessed with computers and programming as kids".
There has been a much higher demand for software developers over the past 10-15 years than there are people who are obsessed with computers and programming
If you look at the general topic shift on HN over the years it's obvious most people are getting into tech because they want power and money, not for love of tech
> If you look at the general topic shift on HN over the years it's obvious most people are getting into tech because they want power and money, not for love of tech
I think that is a bit presumptuous, even if there is a hint of truth there. Just because a kid didn't grow up around computers and programming shouldn't exclude them from the tech path or mark them as imposters/pretenders.
> Junior devs have always been useless. You used to give them tasks that take them a week or two even though a senior engineer could do it in a couple hours
We havent dont it and I never seen something like that.
It's a self inflicted wound. Companies do not reward loyalty. They do not give out raises congruent with what you can find if you leave. Business-types unirionically think seasonal layoffs is a "good thing." Self hemorrhaging your institutional knowledge is insanity
We have no frame of reference if it's working because basically everyone is doing it. And business only measure on extremely short timelines. Meaning, it could be good right now, and catastrophic on the 10+ year timeline.
I definitely think this is the case. Almost all software is unbelievably bad. Almost all software gets worse the longer it exists. And almost all software does not meet its business purpose - it's merely contorted by the customers to just barely meet their needs.
1) People hearing "an LLM is as smart as a junior" and actually opting for the LLM subscription price instead of hiring a junior
2) The gap between senior and junior in terms of performance has become larger, since the senior devs had their hands get dirty for years typing stuff out manually AND also tackling challenges.
This generation of junior-mid developers will have a significant portion of the "typing stuff" chopped off, and we're still pretending that this will end up being fine.
I think your second point is interesting, and it has actually already happened a couple of times.
It used to be a lot easier to find devs that knew assembly and could navigate call stacks through memory by hand because a lot of folks had to learn that to get their job done. Now higher level languages have mostly eliminated that level of operation.
The same applies to infosec roles. It is 10x harder for junior infosec folks than 20 years ago because there are a bunch of skills you need in infosec that today's mainline dev experience doesn't need, but were more common a while ago.
Case in point, I remember working with a partner company's junior engineer on some integration. They needed some hard-coded constant changed and time was of the essence. I told them to change a couple bytes in the elf binary directly. They looked at me like I was a wizard. I thought it was a fairly pedestrian skill having grown up reversing computer game save files.
The challenge is to get cost sensitive businesses to support this. Juniors are a cost and when trained move on, thats the fundamental problem. Retention only works with smart companues, for most other companies its a revolving door.
On the plus side, as a dev with 30+ years of experience, I am commanding a very good contract salary these days. Revolving door companies stuck in process hell and product rot, and cannot deliver new value, so they’re scrambling to find experienced devs that cost a premium. My salary today makes up for peanuts at the start of my career.
The real question will be; Do we need to pay the juniors to write code to become seniors?
If coding is an art then all the juniors will end up in the same places as other struggling artists and only the breakout artists will land paying coding gigs.
I'm sitting here on a weekend coding a passion project for no pay so I have to wonder.
> Seniors come from juniors. If you want seniors, you must let the juniors write the code.
Companies know this as well, but this is a prisoner dilemma type situation for them. A company can skip out on juniors, and instead offer to pay seniors a bit better to poach them from other companies, saving money. If everyone starts doing this, everyone obviously loses - there just won't be enough new seniors to satisfy demand. Avoiding this requires that most companies play by the rules so to say, not something that's easily achieved.
And the higher the cost of training juniors relative to their economic output, the greater the incentive to break the rules becomes.
One alternative might just be more strict non-competes and the like, to make it harder for employees to switch companies in the first place. But this is legally challenging and obviously not a great thing for employees in general.
It’s already getting harder to find juniors willing to write the code and harder to discern whether someone is as willing as they say. And I feel like asking junior to make this decision and just have self control is a tricky double edged sword. Even if I want them to (and I do!) the competitive and ambitious juniors I suspect will still lean into AI code gen heavily as it makes them look better and seem more productive. Seniors probably need to do more than let them write the code, we probably need to figure out ways to encourage, require, or even enforce it at some level, if we want it to happen.
I agree with the sentiments here. But, I’m less hopeful about the presented solutions.
I think my argument against humans still needing to know how to manage complexity, is that the models will become increasingly able to manage that complexity themselves.
The only thing that backs up that argument is the rate of progress the models have made in the last 3 years (ChatGPT turned 3 just 3 months ago)
I think software people as a whole need to see that the capabilities won’t stop here, they’re going to keep growing. If you can describe it, an LLM will eventually be able to do it.
disagree because when the "super fast" new CPUs of 20 years ago became common, it was easy to write code that executed slower than previous code, due to language constructs and wasteful work patterns. Therefore, I predict that LLM code can explode in complexity (14KLOC for a binary file parser with some features) but that compute will bog down and effort to understand will explode.. that is, in extreme cases.
Ok but even pre ai I felt like each years interns wanted to take as many shortcuts as possible and not learn.
I think the allure of high TC (150k base or more for entry level) led to many non engineer brained people to enter tech.
Many people can do rote memorization, it’s even ingrained heavily in some cultures iykyk. However they can’t come up with much original or out of the box thinking.
AI has made senior engineers useless to me. I have purposefully asked senior engineers specific questions to get their insight on a matter only to have them tell me, "here's what our internal AI tool said". This has occurred countless times. I find that staff and principal engineers have remained extraordinarily valuable as teachers. Our junior devs have been exceptional and are eager to learn. Our seniors have become lazier and stopped being as generous with their knowledge.
I’ve seen this too, but mostly with the ‘team lead’ seniors- the ones interested in the management track.
On the other hand, a SE2 was asking me for help with something that was way off track from what they should have been doing. This isn’t a new SE2, but someone who seems the have topped out as an SE2. Anyways, they were not understanding anything I was pointing them towards, so I got frustrated and just gave them the exact prompt to feed into their AI. The AI fixed it for them. They were amazed by the result, but should have been horrified by their uselessness instead.
Remember this simple fact - if you dont use it, you lose it. The cognitive damage these tools will create wont be largely visible on a macro-scale for a few more years yet. But people are eventually going to realise, all this work (pre off-loading to LLMs) once geared the brain to work in a particular kind of way that results in the generation of ideas for inventions to yield innovations and so on...
Personally Im only strictly hiring people who have not been exposed to the LLM-virus / people who are extremely disciplined with their use about it (which is difficult to determine).
This weekend, I received confirmation that, for data analysis and modeling, coding agents represent a qualitative leap forward comparable to the widespread adoption of personal computers.
I stopped doing scientific research years ago, but before moving on to other things, I had, like many others, I imagine, certain problems that I wanted to study, but given the lack of time and other concerns, I would never have picked them up again.
I launched Codex, and it managed to untangle old files and analyses, find datasets that I didn't know where they had ended up, launch analyses under my guidance, and build visualizations that would have taken me days, if not weeks, to complete.
Of course, I have experience, I know what needs to be done, and I had to correct some errors made by Codex (I am paying for Codex and Gemini now, but I could go back to paying for Claude too), but I was amazed by the quality of the analyses.
To give an example, I had a dataset of weather observations that I had downloaded from a website years ago, hundreds of time series across weather stations.
Codex managed to recover the missing time series, even though the website is no longer active, by first comparing the downloaded data with the data I had, and then also finding a digital elevation model.
Now I will guide Codex in developing a model of extreme events that will allow me to have a spatio-temporal model of extreme events that, without Codex, I would never have had the time or inclination to build.
I'd find it very understandable if true. I also think there will be some junior devs that it will supercharge, and they will eventually make some of the things we only dreamed about. If you don't actually enjoy coding but are starting out as a coder, it's probably not going to help. If you are thirsty to understand and do things, it is an incredible time to start out.
My nightmare scenario (which might start to materilize) is that our last years in the industry will be becoming prompt monkies / agent "managers" working on codebases we barely understand in such velocity there's no way we can gain real understanding. Whenever something breaks (and it will , a lot) A.I will fix it - or so we'll hope. And the sad thing is - this might work; you'll get more stuff done with fewer people. Sure, we didn't sign up for this, it's not a fun job what I've described, but why should management care? They have their own problems and A.I is threatening their jobs as well.
At work we build enterprise software with stuff like Kotlin+Spring + multiple NextJS apps + Microservices + Rust CAD engine.
I haven’t have written code aside from tweaking stuff here and there in probably 3 or 4 months. Before that I wrote code by hand every day for many years.
I’ve found a lot of fun parts of my new workflow that I enjoy. I still miss being fully immersed in a problem deep in the files… and sometimes it feels like homework reading so many implementation summaries from Claude because the feature spans 4 repos and is too much code to read. But I do love shaping the code into different solutions exploring in a way that is unique to ai native workflows. And I love building agent skills and frameworks with/around them and expanding it out to more aspects of the company or life — there’s deep work to be had that still feels like hacking in the trenches. I get a lot of the same satisfaction in different ways, and there’s a lot of exciting novelty to explore that was previously out of reach due to time and energy constraints.
Also I don’t like our backend stack and I hate React / NextJS to the degree of derangement syndrome — I am so happy that I don’t have to write it and I can just focus on UX, making customers happy / lives easier / shaping the software into better and better versions of itself at such a faster pace.
People who learned good software engineering intimately before the inflection point are extremely lucky right now. Existential dread and the stages of grief have been a part of the journey for me too sadly, but there’s a lot to celebrate and explore with the right attitude.
I feel the same way, I have many years of experience, and I have gone from writing everything by hand to using claude code all the time (my latest company is very pro doing everything with AI).
Since I have been a software architect for the past 7-8 years it feels in some ways that that experience makes using claude code a lot more productive than for my non-architect colleagues, as I am able to steer it much more effectively whether directly in sessions or via custom skills / mcp.
The big issues right now for me are hiring and manager expectations, I changed positions last fall due to mass layoffs and it took me 3 months to find one: having leetcode interviews in the current climate seems completely useless, even more than it was in the past, and system design interviews are so formulaic it also feels like a crapshoot. Plus every job getting hundreds of AI generated applications makes actually being considered in the first place quite difficult.
Manager expectations are also ridiculously inflated nowadays, it seems most action items that come are claude written with fantastical random statistics (if you add caching you can make your backend 98.3% faster!), and it takes so much time to fight this and unrealistic team velocity expectations.
Interesting times, I do feel lucky I have had a long career, but I very much fear the ladder being pulled up even more than it has been when outsourcing because widespread. I know everybody says "things always change, new opportunities will open up to compensate for the ones that are being lost" but this time it does feel different, and not in a good way.
Things are changing so fast and so chaotically with this technology. I'm also writing everything now using Claude code, and I've been thinking a lot about what this means for my work moving forward. One thing I've noticed, is that I will just keep hammering and hammering on my work until I force myself to quit. Even on the weekend I feel the pull to go work on it. I'm just less sort of mentally exhausted by work, I suppose, but I don't think that's particularly healthy if it leads to me working way more than I should. On one hand, I think that's a reflection of how powerful and exciting this technology is, but on the other hand, I think that it triggers some different kind of reward function in my mind that I'm not used to.
In any case, I think if one wants to continue to have a career in this industry for years to come, it's basically table stakes to become fluent in using these tools.
Similarly, I started using Claude to add some features to an native app on iOS and Android in early January. That was so successful (tooks days instead of weeks) I started applying it to client work and basically haven't written any substantial code since. A big change from around 40 years of writing code pretty much every day and I'm enjoying the increased velocity from not having to web search for API and CSS syntax details.
My son, working in another dev company, reports the same - he basically hasn't written much actual code for about three months. It's a massive change.
It already happened. The old timers correctly observe that modern applications are bloated and inefficient because of all the heavyweight frameworks, excessive abstraction layers, and "left-pad culture" where external dependencies are pulled in to do the most trivial things but that these things enabled less capable developers to effectively build software to fulfill industry demand. LLM-only coders are just the next step in the devolution.
> My nightmare scenario (which might start to materilize) is that our last years in the industry will be becoming prompt monkies / agent "managers" working on codebases we barely understand in such velocity there's no way we can gain real understanding.
It will always be preferable to work on an understandable codebase, because that maximizes the AI's affordances too. And then the AI can explain things to you. A skilled human will always have a lot of solid knowledge relating to their hyper-specific niche that isn't part of your average general purpose AI, so humans will obviously have a key role to play still.
I'm already seeing this in the company I recently joined: 80-90% of code is generated/prompted. Big PRs, very little review or oversight. Absolutely nobody considering long-term architecture (and IMO nobody capable of such). In general, there's very little critical thinking involved at any stage, just throw error messages back into the LLM, rinse and repeat.
I'm hoping there's a world where people with skills are useful in getting these projects back on track, but perhaps as a society we're learning to accept this reduction in quality.
And how do u sum up the tradeoffs so far, or is it too early to tell ? Do u see lots of unacceptable shit making into production that wouldn't have before A.I for example ?
- i dont see a single page where i can see the articles at one glance
- can you add an index page that shows the list of every post ever written? this page requires too many hoops to navigate https://beabetterdev.com/2026/02/
This is 100% an issue on the side of the senior developers. Imagine saying "these juniors are useless" because you are making them work in assembly, but C has just been released. You are giving them menial work that is no longer required to do by humans. Instead of giving them the task "update these email templates", the norm should be: "create this new service that automates an internal process". They will make mistakes and they will learn - but what they will be doing is going to be very useful and also give them chance to grow the necessary skills for this new era, with the supervision of a senior.
By making them walk into the landmines and forcing them to fix it - that is how everyone became a good programmer. It's just the scope that has changed.
Actually the truth is that a lot of senior devs are not very good either, and have negative value. But they have an inflated value of themselves that does not reflect reality.
Pretty much all software projects seem to peak, and then decline in quality. There are only a handful of senior devs in the world who are actually good programmers.
I agree. But it’s not about that they have inflated value but it comes down to how “modern” software producing organizations work. Product managers and C-level people do not know what they are doing either. Most people are part of the “software engineering” theater, recruiters are recruiting, manager are managing, software developers are developing software, all of them just to get paid or gain status in the org. Most of the values come from that handful people who can really deliver.
> The mechanistic myth is the belief that
everything can be described as a neat hierarchical
structure of things within things. And few of us
realize that our entire culture is based on this
fallacy. While the world consists of complex,
interacting structures, we prefer to treat every
phenomenon as a simple, isolated structure.
> Through our software pursuits, the mechanistic
myth has spread beyond its academic origins, and
is now affecting every aspect of human existence.
In just one generation, it has expanded from
worthless theories of mind and society (behaviour-
ism, structuralism, universal grammar, etc.) to
worthless concepts in the field of programming
(structured programming, object-oriented pro-
gramming, the relational database model, etc.)
to worthless software-related activities that we
all have to perform.
> What is worse, our mechanistic beliefs have
permitted powerful software elites to arise.
While appearing to help us enjoy the benefits of
software, the elites are in fact preventing us
from creating and using software effectively. By
invoking mechanistic software principles, they are
fostering ignorance in software-related matters
and inducing dependence on their systems.
> Increasingly, in one occupation after another,
all we need to know is how to operate some
software systems that are based on mechanistic
principles. But our minds are capable of non-
mechanistic knowledge. So, when the elites force
us to depend on their software, they exploit us in
two ways: by preventing us from creating better,
non-mechanistic software; and by preventing
us from using the superior, non-mechanistic
capabilities of our minds.
> The ultimate consequence of our mechanistic
culture, then, is the degradation of minds. If we
restrict ourselves to mechanistic performance,
our non-mechanistic capabilities remain un-
developed. The world is becoming more and more
complex, yet we see only its simple, mechanistic
aspects. So we cope perhaps with the mechanistic
problems, but the complex, non-mechanistic ones
remain unsolved, and may eventually destroy us.
Wow, I'm immediately hooked. The book is free online as well to download.
There appears to be a cottage industry in pumping out "LLMs will eat your skills; listen to me, the wise senior engineer with the same anxieties" pieces.
The silver line is not to avoid AI but to use it wisely, and this is coming from somebody who used to hate AI.
I am not a Python developer or developer for the matter but Perplexity AI did help me to understand the bsic of Python for API requests and get projects delivery with 94% code coverage and vulnerability free.
AI also reduced the time spent with Ansible playbook generation, but I do know Ansible, I do know Linux, homelab is my hobby so I am not just doing copy and paste. I review whatever it generates and correct it when required.
In the companies I have worked and work, I see developers themselves confessing "I used AI, it works but idk how"!
AI itself does not make you useless, only and only if you used it as a smart search engine.
If you are doing copy/paste, you are going to get so screwed professionally speaking.
Folks are no longer learning and what they are doing, AI can do on its own.
> > For someone like you, who likely has years of experience without LLMs, your brain totally understands good code/bad code, good architecture, and just general intuition around code and systems. LLMs must be an absolute gamechanger. But for someone like me who is starting out in this field, how am I supposed to build the years of experience and intuition that comes from manually writing code and building systems when companies are expecting AI to be used from here on out?
Answer: juniors need to work with seniors, and the seniors need to teach the juniors, and the juniors need to learn to use LLMs to learn, not just to do the work.
I can't seem to get the article to load, but I think I get the gist from the title.
I hired a junior "dev" who literally hadn't even completed an HTML course. Before AI I could not have hired them because they literally did not know how to dev. After AI, anyone with a little grit can push themselves into the field pretty easily.
As with everything in life: you can choose to hard route or you can choose the easy route and your results will follow accordingly.
Adam, can you please share, how in the world, this junior dev got hired with you?
I'm self-taught dev with multiple years of experience. I choose the hard route, even after AI. For me, programming is theory building, so I always choose understanding above all else.
Rock solid understanding of TypeScript, frontend and backed.
I have sent 100s of CVs. For Juniors, Mids and Seniors. Not even a single interview.
From a professional standpoint, I’ve never found “enjoyment” from coding. I enjoy every part of the process of getting business goals from talking to stakeholders -> completed project with coding being the necessary evil.
Funny enough, I started working in 1996 professionally (and had been a hobbyist for six years before going to college). But it was only between 2012-2016 that I was a ticket taker without working with the end user directly - everything I’ve done has been B2B.
GenAI (and working remotely since 2020) has made me enjoy every part of my job.
> I hired a junior "dev" who literally hadn't even completed an HTML course.
I mean, I'm a fairly senior dev, and have literally never completed, or indeed really heard of, a html course. Is that, eh, part of your average CS degree these days?
> Netscape has stipulated removal of the <marquee> element from the Internet Explorer during an HTML ERB meeting in February 1996, as a condition to removing the <blink> element from the Netscape
It's like nuclear disarmament treaties, but for annoying things.
I can't wait until the AI people realize that without developers' original ideas, AI has nothing new to steal from. We don't create, AI will spit out the same old concepts. What, you're gonna create the next generation of AI by training it on what the very same AI has already produced? C'mon now.
You don't get technical creativity reflexes by using AI. This is technical stagnation in the making. By cannibalizing its own sources, AI is ensuring that future generations are locked-in subscription models to do the most basic technical tasks. This is all obvious, yet we speed up every chance we get.
It might be a mistake to assume tomorrow’s training looks like today’s. Unsupervised learning is a thing and a very hot research topic, precisely because it avoids some of today’s big problems with acquiring the vast amounts of training data necessary.
Unsupervised leanring has been around for years and is already how the current wave of models are trained. It doesn't mean no data, it means no human provided labels of the data. So you still need creative new human ideas to move LLMs forward. LLMs != intelligence.
Exactly this. Even frontier models like Opus 4.6 have absolutely zero understanding of the task at hand. If you give them problem they have not encountered in training data, they will not solve it. You can however, guide them to resolve the problem, but in that case these get reduced to merely an auto complete. Don't get me wrong - models are getting better and hide very well that they don't understand anything, you can almost get fooled now.
Maybe there aren’t that many new/necessary ideas that can be mined from the fundamental building blocks of software development (languages, syntax, runtimes, static analyses, type checking, etc). Maybe people will continue to innovate by instructing models to build novel things out of those building blocks? Perhaps things we would not have thought of building before due to the effort required without LLM assistance.
It's the opposite. The less competent the average developer the more valuable coding LLMs become (as the only way for those bad developers to generate ok code). Eliminate the good developers and even bad coding LLMs become valuable.
I opened LinkedIn today (out of habit) and the first post was someone explaining how much Slack costs and that with AI every company can build their own Slack for $100. So that person decided to build an open source Slack clone using Claude Code. Granted, these were a few sane comments showing good alternatives that have already been built.
But for me it's been a signal that people have no imagination, so they are just burning tokens for no reason.
This is fine. How else do you learn but by taking things apart and rebuilding them? This obsession with productivity is incompatible with onboarding new talent. Having 1000 versions of the same concept is exactly what progress is.
Why would there be a lack of original ideas? People who are born to code so to speak will do it. Information wants to be free as the saying goes. It only takes one time for an innovation for it to be to copied everywhere.
We don’t need the same volume of developers to have the same or faster speed of innovation.
And conversely if there is stagnation there is a capital opportunity to out compete it and so there will be a human desire to do the work.
Tl;Dr. People like doing stuff and achieving. They will continue to do stuff.
ps it’s too much to claim other people don’t experience creative ideas using AI. You don’t really know that’s true. It hasn’t been my experience as I have had the capability and capacity to complete ideas on my back burner for decades and move onto the next thing.
That’s the big scary point at the crux of all of this - you’ve had decades without the tooling to develop instincts. Nobody knows whether it’s possible to develop instincts with the tooling or what those instincts will look like. Creativity takes a degree of skill to execute on and the concern is that we’re potentially graduating people to painting the ceiling of the Sistine chapel before they’ve even learned to sketch.
At minimum, our current generation of leaders will have to get much better at managing resources and building people up. We have to up our games and build environments where the pursuit of deep understanding is permissible. Unfortunately with the current hiring issues, it’s totally understandable that young developers are scared to take time on tickets.
I can't repair my car, which used to be the hallmark of technical masculine skill in the era of Grease the musical, because mechanical maintenance is not primary in my lifetime. Nor do I have any idea how to manage a farm. I think the kids will be fine. On the other hand, I fear I will not survive once my Internet connection goes out.
It isn’t about training anymore. It is about harnesses.
Just look at new math proofs that will come out, as one example. Exploration vs Exploitation is a thing in AI but you seem to think that human creativity can’t be surpassed by harnesses and prompts like “generate 100 types of possible…”
You’re wrong. What you call creativity is often a manual application of a simple self-prompt that people do.
One can have a loop where AI generates new ideas, rejects some and ranks the rest, then prioritizes. Then spawns workloads and sandboxes to try out and test the most highly ranked ideas. Finally it accretes knowledge into a relational database.
Germans also underestimated USA in WW2, saying their soldiers were superior, and USA just had technology — but USA out produced tanks and machinery and won the war through sheer automation, even if its soldiers were just regular joes and not elite troops.
Back then it was mechanized divisions. Now it is mechanized intelligence.
While Stalin said: Quantity has a quality all its own.
I hear this sentiment a lot but it doesn’t ring true for me.
What is an idea really and what’s your definition of new?
If i get a LLM to spit out, I dunno, a deployment system written in haskell that uses bittorrent or something, none of those bits are new, but certainly there will be unique challenges to solve in the code and it’s a new system.
Where is the line for new? Is it in combining old ideas? If not then does any software have “new” ideas? It’s all combinations of processor instructions after all…
While that’s kind of true in some sense, I think there’s an argument to be made for the contrary: that the mechanism for generating new ideas in humans is not quite as special as we would like to think.
In other words, creativity in humans is arguably just as derivative as in machines.
I think this can be falsified by just considering the history of humanity. It wasn't that long ago that human language literally did not even exist. And our collective knowledge wasn't all that much more than 'poke him with the pointy end'. Somehow we went from that to putting a man on the Moon, unlocking the secrets of the atom, and more. And if you consider how awful we are at retaining/sharing information and just general inefficiencies due to the fact that we're humans and not just logical information processing machines, we did all of this in little more than the blink of an eye. This is something that seems to certainly be rather special.
All that humanity has achieved happened due to the simple loop of identifying a desire/need and finding a way to satisfy it. Also known as reinforcement learning. The only thing that really differentiates humans from machines is... history. We've been learning and passing on our knowledge to successive generations over millennia. Nothing really special there; give the machines a few years to learn and see what happens.
None, yet. But you can be 100% sure it's something we'll eventually succeed in adding, as it's through the guidance of desires and needs that intelligence really expresses.
I’m not claiming an LLM is structurally or functionally equivalent to a human brain. I just said that what we call “creativity” is in fact a very derivative thing.
What I am excited about is the possibility of LLMs to draw conclusions from the last 150years of scientific papers.
There have been lots of instances of knowledge being rediscovered even when it was previously published but sitting on some shelf forgotten. LLMs ability to digest large volumes of data will I think help with this issue.
We will still need to reproduce and verify conclusions but will be interesting to see what might come from this.
i don't think all sides of this discussion agree on what a "new idea" is. i am a very creative person but i've never had a truly original thought and i don't know how having one would be possible
If AI could innovate it wouldn't be a public product. It would be a cash cow. Why give your customers the ability to come up with new and amazing ideas when you can just keep it for yourself and launch a thousand products? USA is a capitalist society. It doesn't share profitable ideas.
And if AI was really about productivity they'd be talking about doing more faster with the same workforce, not reducing the workforce.
Innovation is irrelevant to pushing up this quarter's numbers. No one actually values unique and novel ideas. The only thing that matters is shipping something right now that can make an impact on this quarter's numbers.
Who cares if it's derivative slop or a straight up bootleg of something else so long as the number goes up
Technically all the problems that almost any given business needs to be solved today has already been solved umpteen times over the years. There are no new problems that can't be solved by porting and/or combining old solutions.
"Everything has already been invented." - Some 19th-century scientist who had no imagination to see the wave of technological innovation that was coming.
That's the literal definition of stagnation. That is not compatible with growth.
Also that's not a new idea, that "everything worth inventing/exploring has already been". It's precisely what AI reinforces, and that goes against human nature (and capitalism) as that statement has historically proved.
Oh no, there will always be things that're still worth inventing/exploring. They're just very few, and a tiny subset of that few will be applicable to today's businesses.
I think this concern is overblown. AI is an incredible teaching tool. It's probably better for teaching/explaining than for writing code. This will make the next generation of junior devs far more effective than previous generations. Not because they're skipping the fundamentals...because they have a better grasp of the fundamentals due to back-and-forth with infinitely patient AI teachers.
Unless your company is investing in actually teaching your junior devs, this isn't really all that different than the days when jr devs just copied and pasted something out of stack overflow, or blindly copied entire class files around just to change 1 line in what could otherwise have been a shared method. And if your company is actually investing time and resources into teaching your junior devs, then whether they're copying and pasting from stack overflow, from another file in the project or from AI doesn't really matter.
In my experience it is the very rare junior dev that can learn what's good or bad about a given design on their own. Either they needed to be paired with a sr dev to look at things and explain why they might not want to something a given way, or they needed to wind up having to fix the mess they made when their code breaks something. AI doesn't change that.
I always say "own the output". No need to do it by hand but you better damn well research _why_ the AI chose a solution, and what alternatives there are and why not something else, how it works and so on. Ask the AI, ask a seperate agent/model, Google for it, I don't care, but "I don't know the LLM told me" is not acceptable.
For me, the hardest part of software development was learning incantations. These are not interesting, they're conventions that you have to learn to get stuff to work. AI makes this process easier.
If people use AI to generate code they don't understand, that will bite them. But it's an incredibly tool for explaining code and teaching you boring, rote incantations.
It's easier to be lazy now more than ever. Hard to blame them because the temptation to deliver and prove oneself as a junior is always high.
I can't count how many seniors have forgotten what it means to understand the code they're merging since AI coding tools became popular. So long as businesses only value quantity the odds are stacked against juniors.
As a junior, my top issue is finding valuable learning material that isn't full of poor or outright wrong information.
In the best and most generous interpretation of your statement, LLM's simply removed my need to search for the information. That doesn't mean it's not of poor quality or outright wrong.
I suspect that the quality is ironically correlated with the expertise of the user (i.e. it is knowledgeable if you are knowledgeable), which puts you in a conundrum (I can report that with a couple decades of experience, LLMs are giving me high quality, correct results, but I can already see that it somehow doesn't work as well for some of my less experienced colleagues. A lot of what I've been doing over the last couple months is trying to find how to make it "just work" for them.).
As a general principle, take advantage of the fact that it can easily generate stuff. If you don't know whether something is true, have it prove it. Make a PoC/test/benchmark to demonstrate what it's saying. Have it pull metrics that you have access to. Add more observability. Create feedback loops (or rather, ask it to create feedback loops). They're very good at reasoning given access to the ground truth, so give them more ability to ground themselves.
They also have fantastic knowledge of public things, but no knowledge of your company, so your instructions should mostly be documentation of what's unique to your company. If it can write an instruction on its own (e.g. how to use git or kubernetes), it is a useless instruction; it already knows that. What it doesn't know is e.g. where your git server is. It also doesn't know what matters to your company: are you a startup trying to find product market fit? Are you an established company that is not allowed to break customer setups? etc. You might even be able to ask it what kinds of questions a senior might ask about how a company/team works when coming into a new job, and then see if you can answer those questions (or find someone who can). In fact, go ask chatgpt:
> What are some questions a senior engineer might ask when coming into a new role to make themselves more effective?
> What are some questions a principle engineer might ask when coming into a new role to make themselves more effective?
> What are some questions an engineering manager might ask when coming into a new role to make themselves more effective?
> What are some questions an engineering director might ask when coming into a new role to make themselves more effective?
This is the dumbest thought that proliferates this website.
Super great that it’s used to pump out tons of code because upper management wants features released even faster than before. I’m sure the junior devs who don’t know a for loop from their ass will be able to learn and understand wtf Claude is shitting out
> AI is an incredible teaching tool. It's probably better for teaching/explaining than for writing code.
It is but how do you teach to people who think their new profession is being a "senior prompt engineer" (with 4 months of experience) and who believe that in 12 months there won't be any programmer left?
And how many will not?
For mist people it’s just a job to get money, they will put exactly as much effort in it as is necessary to produce an acceptable result
Only for people who wants be taught, this argument keeps coming up again and again but people in general doesn’t want to learn how to fish, they want the fish on a plate ready to eat, so that they can continue scrolling.
I see this a lot in juniors, they are solution seekers, not problem solvers, and AI makes this difference a lot worse.
I do agree it’s a great tool, so much better than trying to hope and pray someone on the internet can help you with “I don’t understand this line of code.”
It feels like to me that junior devs don’t understand what they even need to learn. They just use agentic coding to get things done, without any deeper knowledge.
The worst is, they think they know exactly what they need to learn, and also think they can make good decisions.
I don’t know if this is related, but the standards of CS university courses in the UK are objectively way below what they were 25 years ago. You can compare two syllabuses from the same course and the difference is shocking.
It may be AI has raised the bar, but also that junior devs out of uni are just much worse than they used to be.
I see so much creativity coming from young developers I just can’t agree. Yes most developers in the past 20 years who were only chasing big tech money were useless. Good riddance
Next year I'm going to experience my first junior, which is crazy considering I have 3 YOE. Nonetheless I'm very curious what kind of graduates come out of the current education
I am a Junior dev (graduated in 2022) and I am gainfully employed at the McGowan institute, earning an okay salary, with colleagues who actively use LLMs, but there is zero talk of firing me or laying me off due of LLMs. I personally avoid LLMs for most things other than:
1) Google search which actually works
2) translating MATLAB, which I have never learned (and probably won't ever)
There is a whole team of Junior devs, and actually on Friday I got an email asking if I could refer another junior/entry level. Granted it was for a 1 year contract, but still.
I recently read a similar discussion in the context of AI in science and PhD students. And the point the author was making that the goal of having PhD students is NOT to produce academic research, but to train people. I think the same idea applies here.
Somebody still needs to train people, and the companies will probably need to ensure that they have resources for that, as there will not be enough senior people for all the tasks.
It's interesting to watch industry after industry hollow itself out from the inside then inevitably die long after all the financial people, investment bankers and management consultants have all cashed their checks.
Steve Jobs famously accurately called this out years ago [1].
Xerox, Boeing, PC manufacturers (who basically created the Taiwanese makers through a series of short-term outsourcing steps), etc. But there are two examples I want to talk about specifically.
First, one lasting impact of the 2008 GFC was that entry-level jobs disappeared. This devastated a generation of millenial college graduates who suddenly had a mountain of student loan debt (thanks to education costs outpacing inflation by a lot) but suddenly no jobs. It became a bit of a joke to poke fun at such people who had a ton of debt and worked as baristas but this was a shallow "analysis". It was really a systemic collapse. Those entry-level workers are your future senior workers and leaders. Those jobs have never come back.
The rise of DVR/TiVo and ultimately streaming brought on a golden age of TV in the 2000s. It was kind of the last hurrah for network shows that produced 22 episodes a year before streamers instead produced 8 episodes every 4 years.
But what made this system work was an ecosystem. Living in LA, Atlanta and a few other places was relatively cheap so aspiring actors and writers and entertainmnet professionals could get by with secon djobs and relatively low income. These became the future headline actors and senior professionals. Background work and odd jobs were sufficient. Background work also taught people how to be on a set.
Studios still had large writing staffs. Some writers would be on set. Those writers were your future producers and showrunners.
Part of what supported all of this was syndication. That is, networks produced shows and basic cable channels would pay to rerun them. Syndicating some shows was incredibly profitable in some cases (eg Seinfeld).
So the streamers came along and stripped things down. They got rid of junior positions. They adopted so-called "mini writing rooms". Those writers didn't tend to ever be on set. The runs were shorter and an 8 episode series couldn't support a writer in the same way a 22 episode series could. The streamers then were largely showing just their own content so residuals and syndication fees just went away.
All of this is short-term thinking. Hollywood has been both a massive industry and a source of American soft power internationally by spreading culture, basically.
I think the software engineering space is going through a similar transformation to what happened to the entertainment industry. A handful of people will do very well. AIs will destroy entry-level jobs and basically destroy that company and industry's future.
I predict in 10-20 years we'll see China totally dominating this space and a bunch of Linkedin "thought leaders" and politicians will be standing around scratchin their heads asking "what happened?"
I've seen a lot of hot takes on HN but faulting streamers for the inability of Hollywood to adapt to cultural and technological change is gonna require oven mitts. The rise of streaming is a win for the little guy and the viewers against Hollywood's capitalist entertainment oligopoly.
Yeah this industry was cooked before AI and AI will just accelerate the decay. There will still be a place for programmers who care about their craft and want to build quality systems, but the average software engineer reinventing the wheel on some product that brings little value to people (90%+ of software btw) is probably going to find themselves replaced.
Ai might bring forward the standardisation we never had. If coding dynamics shift enough then all the opinions about libraries and engines and frameworks might get less focused on readability and more on efficiency and easy composition by Ai.
Security gets outsourced to audited layers and Ai does the stupid boring jobs of gluing them together. Some developers become more specialised and niche, some pivot to product, some pivot to other areas.
There are plenty of people who joined software for the payout and hate it. Plenty of people who grown to hate it over time.
I've been enjoying using it to figure out toy projects but paying an API and depending on a service to code is very sour. I really hope hardware specialises and local models become good enough. Gate keeping development on centralised services would be a loss for everyone and ripe for dystopian outcomes.
Every week, I read an article on the consequences of reliable coding agents in SWE industry. All such discussions on HN leads to a fundamental suspicion of the empirical scaling laws of LLMs or the infinite greed and short-sightedness of the market in inflating a bubble. I'm tired.
Yes and no. Often times managers are now asking ask Claude code to write it but I want it delivered tomorrow. This leads to us forcing to use LLM generated code without enough time to review or understand it.
"AI is making junior devs useless" is a dangerous and incorrect conclusion. If this idea is repeated too often, people may start to believe it and even quit studying computer science altogether.
First of all, developers who only learn to code in a short bootcamp are often not well prepared — but that was already true before AI. In the past, many junior developers were students who were learning programming while studying, not just people who took a quick Python course on Udemy.
Instead of declaring junior developers useless, we should raise the standard: learn how to code properly, how to maintain code, understand networks, and build strong foundations in math and computer science. A well-trained junior developer is still extremely valuable and will always be needed.
I assume junior devs can at least search. AI often doesn't even do that. That's why there are things like context7, which in a narrow context helps but not perfect.
There are lots of ambiguous situations where a search and human "inference" can solve that AI still can't.
I can tell the AI to do something, it uses the worst approach, I tell it a better way exists, it says it validated it does not, I link to a GitHub issue saying it can be done via workarounds and it still fails. It's worse for longer tasks where it always shortcuts to if it fails pick a "safe" approach (including not doing it).
Junior devs: you have an oracle you can pester incessantly. Make the most of it so you can learn to detect its mistakes, know when to push back, and what to ask of it. That's when you are in the clear. Juniors who merely parrot the LLM get fired.
You don't have to take 5 years off for it. Just continue same old business (assuming you don't have outside pressure to use this slop-machine) and keep your skills and judgment sharp until the tools and workflow stabilizes, and most of all, the money to fuel this hype runs out.
The reason I say that is because I don’t want to deal with trying to keep things from collapsing around me while people slam in tens of thousands of lines of vibe coded slop.
Companies will continue to demand it (I know people working at companies that are literally looking at AI usage as an individual performance metric, puke emoji), and probably 95% of humans using pretty understandable human logic aren’t going to work harder than they need to on purpose.
I wish I had a solution. I think the jury is still out on whether programming will be a dead profession in a short number of years, replaced by technical protect operators.
"juniors are useless": Maybe y'all should consider updating this hyberbolic language. Nobody is born a "senior developer", so surely all of your training as a "junior" is not useless. There is always a disconnect between what younger people know and what older people expect them to know, so training is required almost universally.
> If I’m reviewing your code and I ask you why you went with a certain approach, and you tell me “the AI suggested it”, I’ve immediately lost confidence in you.
I’ve experienced similar things and so understand the feeling, but this is poor leadership. If someone on your team makes it all the way to a code review and still thinks ‘the AI suggested it’, you failed to train them, failed to set expectations and they have justifiably lost more confidence in you than vice versa.
If we analyze the rest of the article through the lens of weak leadership, it sounds less like an AI problem and more like a corporate leadership problem.
The cost of generating code is now laughable, so that's not the economic value brought to the table by a junior engineer, or really, any engineer. The value is now generated by knowing what code is good code. You're going to have to have talks, book clubs, hackathons, and the like to get your juniors to know what good code is. Do they know what design patterns are? How about good architecture? If they can't name a few design patterns, you're not investing enough.
This is ridiculous. New developers will learn a completely different skill path from what we learned, and they will get where we are faster than we did.
When I started my career I heard people say almost verbatim "Stack overflow is making junior devs useless", with the idea all we did was copypaste scripts over. The same people failed, and the same people who can use the tools will succeed now.
You definitely did see a difference between people who just copy pasted from stack overflow, and from people with good fundamentals. The uncomfortable truth though, is that the industry didn't need good coders, it needed a bucket load of basic web apps and it needed bums in seats.
I think the irony of AI is going to be that it will make the remaining software jobs properly hard again, and implementers (ex coders) will be able to succeed with even less code knowledge than before.
I worked under people who started as juniors that way but were politically savvy. Or just ruthless. And pushed their way to the top by stealing projects, lying through their teeth, and other such tactics.
They were slowing down progress because their methods involved sabotaging the progress of others because it might make their own contributions shine a little less.
They were the cause of using libraries like leftPad all through business critical code, and cutting anyone down who dared to simply question why.
These things cause ripples. The smartest and most capable staff leaves, what results is a churn of the same kind.
But hey, they get a trip to Mexico every year and burn through millions every two years. Profit any day now.
I did my first completely vibe coded not looking at a line of code implementation last year and my second this year.
I could care less about why either Claude, Codex or before that a developer was using a for loop or a while loop. I did and do care about architecture.
I’m no more going to review every line of code with AI than I am when I was delegating to more junior developers. I’m going to ask Claude Code about how it implemented something where I know there is an efficient way vs naive way, find and test corner cases via manual and automated tests and do the same for functional and non functional requirements.
The "Junior Trap" is real: if you offload your thinking to Claude or GPT-4, you’re hitting "Done" for the day, but you’re accruing massive Learning Debt. You aren't building the failure-pattern recognition that actually makes an engineer valuable.
In a world where "Code is no longer a skill," the only way to survive is to stop being a "Prompt Operator" and start being a "System Auditor." If you can’t explain the trade-offs of the architectural pattern the AI just gave you, you aren't an engineer, you're just the person holding the screwdriver while the machine builds the house.
Nah, it makes teams useless. Maybe not quite yet, but soon, one engineer will be able to do a few sprint teams' worth of work, and deliver features orders of magnitude faster than a team working in parallel. Yeah, generally at first this will be seniors only. But before long, a junior will be able to come in and learn to manage one sprint team's worth of work under the guidance of a senior and partnered with a PM, and grow the product from there. Long term, I imagine 90% workforce reduction will be the norm. Just about all software is a rinse and repeat of some other software, not much true innovation, so picking and choosing and implementing some other software's feature into your own will start to become trivial single-day projects from start to finish. Hopefully AI creates some new industries that SWEs can roll into, but I'm feeling more doomer every day.
Yeap, and people are still forcing juniors to make small code changes when they should be learning by creating entire apps on their own, deploying them, etc. WITH a senior giving them feedback occasionally. I think people are going to take a while to catch on though, for better or worse....
Yeah, IMO one of the first things we'll see change is more of a migration back to monoliths. Right now adding a feature has to go through multiple teams, a dozen services, a coordinated implementation and deployment schedule, a Byzantine and often manual set of integration tests, etc. Yeah AI can help with that, but the point is that AI doesn't need it. On a monolith, it sucks for dev teams because parallel development at large scale is difficult and other teams' bugs can delay the launch of your unrelated project. Hence, microservices became popular. With AI, development happens so fast that it's largely serial. So there's no real coordination needed. A whole feature is one PR, one set of tests, one app to run locally if you want, one deployment, one thing to look at and roll back if there's a bug. Creates a virtuous cycle all the way up.
I imagine lots of established companies will struggle migrating back to that pattern, but I have to think most new companies will head in that direction, which should let them catch up quickly.
I suspect the progression will be "No AI until intuition (whatever that is for that skill)" -> "Gradual use of AI to understand where it falls short" -> "AI native expert".
How to actually implement this at scale is still TBD ;-) Ironically, AI will be invaluable for this e.g. as a hyper-personalized tutor but it will also present an irresistible temptation to offload the hands-on practice. We already have studies indicating the former is helpful but the latter stifles mastery. At this point I can only see self-discipline as a mechanism to willingly avoid AI.
Unfortunately, our testing-oriented education system only serves to incentivize over-reliance on AI (Goodhart's Law etc.) None of our current institutions and processes are suited for what is already happening and will only accelerate from here on. Things will need to change radically.
For this reason, I once predicted apprenticeships will be a thing again, and already there are signs with Microsoft's preceptorship proposal: https://dl.acm.org/doi/10.1145/3779312
This is highly encouraging because a tech giant is not only acknowledging the problem, but proposing a solution. Not a complete solution by far but at least a start.
The centuries of literature we have on this contrasts hands-on practice with theory: not actually doing the thing, but studying how other people do it, in order to gain knowledge that will be helpful when you get your hands into it.
This is different: this is like having a slave do it for you.
We know from history that the slave owners didn't know how to do the work. E.g. kings and feudal lords didn't know how to herd animals or raise grains, etc.
So, I agree with you, but it's also already been true for decades now with other tools.
A spellchecker is purely mechanical, it just helps you spell your essay right. But it won't make your essay good, or help you write the right essay.
WolframAlpha usually got to the correct answer, but often used a non-human strategy for integration. Generally, the best way to do it was simpler than what WolframAlpha's "step-by-step" showed, which was rather "brute force" and inelegant.
So, again, I agree. But again, it's a matter of degree and encompassing more domains vs. a binary change.
Do you realise how difficult this actually is? Millions of people have zero self-discipline with their consumption of social media.
The same ethos makes sense with AI, it's just that every company is trying to avoid paying that training tax. Why turn a junior into a senior yourself if you can get the competition to pay for it instead.
The long-term effects are going to be much like the effect of the software industry turning away from juniors: total collapse. When you have no workforce, you'll do no work - hell, there is just...nothing, nonexistence, no consumers either. But the fertility bust operates on a longer timescale (I think the software industry will start feeling the dearth of juniors in ~5 years, the economy as a whole won't feel the dearth of children for ~5), and it's far more fundamental. Rather than one industry disappearing, all industries will disappear, likely refactored into something that looks far different.
It also reminds me of those ecological predator/prey/locust models that I studied in calculus class, where population dynamics for many species have a tendency to overshoot the carrying capacity of the environment. Each individual in the population makes their own reproductive & survival decisions, but the sum total of them leads to population collapse and a near total extinction, followed by recovery once the survivors find resources abundant again.
Or in other words, they've been priced out of the market.
If there will be no sociofinancial niche for their children to inhabit this is in fact the rational course of action. See also: South Korean current birth rates.
For anyone wondering, the South Korean birth rate is currently ~0.7: https://ourworldindata.org/grapher/children-born-per-woman?c...
But for a beautiful moment in time, we created a lot of value for shareholders
https://www.insidehook.com/culture/story-tom-toro-new-yorker...
I think this is a very likely outcome. We aren't going to get continued population growth next generation; a significant number of the people needed for it will never be born. This is going to have ripple effects across wide swaths of political and economic organization. But you'll have pockets of population that basically barricade themselves off from the wider economic world and insulate themselves from its collapse, and then the people within them, along with whatever form of social organization they happen to adopt.
It's a negative (from the perspective of reproduction) confluence of both social and economic developments.
E.g. the death of the traditional gender roles has inevitably reduced birth rates - for multiple reasons to boot. Because on the one hand, the women has am easier time not to commit and just sleep around, consequently becoming uninteresting to men that would've preferred to make a family... But also because biologically, men are more attracted to demure women, which on average will ultimately remove even more attraction, consequently removing even more likelihood of families being built.
But that's once again only one factor, you got others too... Like stagnant wages, which force younger people too abstain from making a family simply because the financial situation doesn't allow for it. And if it happens anyway, it's more then likely to end in a broken family instead of something positive
Another factor is the availability of choice. Dating apps are available, statistically women all try to get into a relationship with the same 1% of men - who sleep around and cause toxicity all around. The remaining 99% become bitter and consequently... Are even less attractive to women.
Just to be clear, in case someones brain has completely rotten through and interprets any blame into my comment: neither sex is responsible for this. Our society just decided to move on from gender roles, for supposedly economic reasons.
The consequences are felt both for women and men, with both feeling less valued and miserable on average. Which understandably makes them less attractive to the other sex again.
Still not a full list of factors at play btw, there is also the builtup of micro plastics in the men's balls, harming sperm production along with normalization of pornography, reducing the sexual frustration of people and consequently making them less driven to find partners. There is also the influencer industry, purposefully encouraging para social relationships, satisfying the social urges of a lot of people, consequently reducing the likelihood of them seeking out friendships... Reducing the likelihood of meeting other people and thus reducing the likelihood of getting a natural relationship through that.
Third places have also mostly vanished, likely related to multiple of these effects to etc pp
As a regular 30s dude, definitely not 1% by any measure, app dating had its rough spots but generally was a good time, I experienced no bitterness.
Instead I met a bunch of interesting people and found my partner. We now own a house and are talking about kids.
The real toxicity here is the idea that women at large are somehow responsible for anyone's lack of dating success.
For anyone reading this who might be dating and feel disheartened- the hard truth is that you have two options: you can either blame the group of people you're trying to attract for having faulty preferences, or you can reflect and work on yourself and your approach. Only one of these has any chance of helping you.
One thing I do agree with you on: bitterness is extremely unattractive.
That being said as five foot four guy, the chance of me having any success on a dating app at the time from everything I know would have been basically 0 no matter what. “Working on myself” would have done no good. I was objectively in great shape as a part time fitness instructor and I just run my first (and last) two half marathons before I met my wife.
Some guys just haven’t won the genetic lottery to succeed on dating apps. Again I’m not bitter as one of the relatively few straight male fitness instructors, it wasn’t hard to date during my first stint of singleness
Dating is kinda like founding a startup or getting a job, in that you have to kiss a lot of frogs, but you only need to succeed once. The point's to eliminate all the unsuitable prospects in the pool and find the one that is a match for you.
There's some fallacies here like "anyone not acting in stereotypical Protestant gender roles must therefore be recklessly promiscuous" and that if some people don't want to have kids with some women then therefore -nobody- will do it.
Good luck out there everybody - the world changes in fascinating ways and it can definitely run some folks over but try not to get jaded and fall down a despair spiral.
That fallacy isn't in there. Also, I would like to point out that almost all women have had more then 0 sexual partners before wedding. Hence your statement would actually be kinda correct of you remove the "recklessly". And that's definitely another contributer to declining birth rates/families - because neither of them will feel remotely as committed to each other then they would've otherwise.
None of these are singular causes. They're all contributing to the whole situation. Which is precisely why I never made any such fallacy in my earlier comment.
Having premarital sex is not everyone's definition of "promiscuous".
By the 1700s the pregnant before marriage rate was roughly 30%. So about a third of all women in the 1700s had premarital sex that resulted in pregnancy. So the actual rate is of course even higher.
https://www.jstor.org/stable/202859
People having premarital sex is not a new thing. Strong societal norms against something are not the same thing as it not happening.
https://historyandpolicy.org/policy-papers/papers/no-turning...
A lot of those marriages are a direct result of the pregnancy, too - one thing that did happen was the couple being pushed into marriage ASAP when the pregnancy was discovered.
I don't know, I've known kids who can run circles around a lot of seniors, whether it's knowledge, coding chops or just intuition. The reason a newcomer takes a week to complete a task that requires two hours is because the senior has already learn all the ins and outs of the crappy software lifetime processes (usually dealing with half broken build / code review / ticket systems)
> The same ethos makes sense with AI, it's just that every company is trying to avoid paying that training tax.
Last time when a junior dev was added to my team I had a similar thought. But then talking with management I was informed that things went beyond just training.
The company had a social responsibility pledge and understanding with the local educational institutions. They had to pledge to be part of the internship and hiring activities every year. The company could not chose to be fair weather friends and try to recruit people only when they saw fit.
The other aspect was cost. A team made of only senior engineers was costly.
The last aspect was leveling up. Unless the company has lots of levels the team might end up lots of engineers at the same level. And with the inverted funnel nature of promotions it meant some engineers might end up waiting years for the promotion.
So, it was better to have teams with some junior, intermediate and experienced engineers. That way costs and promotion flows were controlled.
Now with AI the impact might go beyond junior devs. I see even the intermediate devs being impacted. It is more likely that companies think they can replace say 1 junior + 1 intermediate with 1 junior dev with AI. Or something along those lines.
I said just the opposite - hire fewer seniors + AI and don’t hird juniors.
I’m now a staff level employee again at a 3rd party consulting company working with small and medium businesses (my preference) after taking a detour in BigTech from architectural roles at smaller companies. My quarterly strategic goals were a combination of what the CxO’s/directors defined and what I defined was in the best interest of the company. None of those goals had anything to do with larger societal issues.
I have never once told my manager “it would be really nice to have a few junior developers. It would really help us get this project done on time”. They do “negative work”.
Yes not having juniors become seniors is an industry problem. But my goal is to reach my company’s quarterly and anual goals - not what’s going to happen 10 years from now.
I have. A good junior can do in a week what a senior with domain knowledge can do in a half day, with only an hour of mentoring along the way. This isn’t a great exchange rate per dollar (juniors are cheaper than seniors, but not that much cheaper) — but seniors with domain knowledge are a finite resource, you can’t get more of them for love or money, while juniors are fresh-minted every semester. The cheapest way to shipping may not go through juniors, but the fastest way usually does; and that’s completely ignoring the HUGE side benefit of building seniors “the hard way,” which is still easier than hiring.
But you don’t build seniors, you build capable mid level ticket takers who jump for more money at the first opportunity.
Even when I was working at AWS as a mid level/L5 in the Professional Services division (lower title/lot more money), I was the one who was responsible for my “workstream” on larger projects. I couldn’t say “that’s not my fault. Blame the new L4 junior consultant who just got out of the internal boot camp for new grads”.
Now that I have moved back up to a more senior position in consulting, if a project I’m leading goes sideways, I can’t tell the customer that it’s not my fault, it’s the fault of the workstream leads and the workstream leads can’t tell me, it’s the fault of the more junior consultants who work under them. They will never talk to the client. The people under the workstream leads may not even speak English.
And that’s not meant to be an insult. The workstream leads have to he able to speak passable English and they can work with people under then who only speak Spanish.
Obviously that hasn't historically been true, else there wouldn't be any senior developers as companies would have wised up to that and nobody would hire them as juniors.
- Not everybody is a job hopper (even in Silicon Valley one sees that most junior FAANG devs stick around for a good while).
- The HR department is absolutely going to give junior developers that pass the cut after a year or so a market rate raise.
- In limited hiring periods, they'd be grateful to have the chance to stick around, while in bullish "boom" periods companies can afford to spend to keep people, expand and give them bigger roles, and so on. It's in the in-between that it becomes more problematic, but now we're in a "limited hiring" era.
>Yes not having juniors become seniors is an industry problem. But my goal is to reach my company’s quarterly and anual goals - not what’s going to happen 10 years from now.
That's how companies fail.
It's also not a good strategy at the personal level. If you command more devs, you get more leverage.
> The HR department is absolutely going to give junior developers that pass the cut after a year or so a market rate raise.
This is also not true from small companies to FAANG - see “salary compression and inversion”
> That's how companies fail.
The company failing in the long term is really not any current employees main concern unless you are a founder if the average tenure is 3-5 years. Even the stock market doesn’t care about the long term viability of a company.
BigTech for instance can afford dead weight. Amazon has an internship program and for those who come back or through their non traditional programs for their internal consulting division (AWS Professional Services) they have a 3 (6?) month training program.
In ProServe at least (former employee) even for their l5/L6 employees, they have the 3 month training program - “AWSome Builder” where you simulate a customer project and have to pass.
After leaving AWS and being hired as a staff consultant by a third party company, they put me on a plane two weeks in to meet with a customer. They don’t even hire less than senior+ people in the US.
That counts temps, people who weren't a good fit and were let go early after hiring, mass layoffs, and mixes mixes startups and FAANG and consulting churn, none of which is the typical corporate IT worker scenario, and all of which bring the average down (but are not "hopping").
Corporate IT, government IT, smaller SMEs, and stable SaaS, have higher averages.
Corporate IT, government IT, smaller SMEs, and stable SaaS, have higher averages.
Your benefiting from the work of peopke who did worry about what will happen 10, or even 20 30 years down the line. People like you are why the rides gonna stop
Not that I’m a line level manager - I’m just a high level IC who is at the same position on the org chart as a line level manager
In fact the only reason I got my job there was because a recruiter reached out to me about an SDE job on the retail side. There was no way in hell that I was going to sell my big house in the burbs of Atlanta (at the time), uproot my life after Covid and work for Amazon. I knew what I would be getting into.
She then told me about a “permanently remote”,”field by design” role at AWS ProServe. I was like sure why not?
Don't worry, just leave all your problems for someone else to fix. I'm sure that won't have any lasting consequences at all.
I give a company 40 hours a week and all of my 30 years of industry experience and they give me money (and in a former life RSUs)
Now at my 45 years, I couldn't care less for whatever grand objective the current company I work for has. I exchange my knowledge and time for hard cash, and let the owners , ceo and whatnot run with their grandiose vision.
I only want to be left alone.
We all get here. It's funny when we turn back.
Once directors and CxOs know that you are completely aligned with the business goals and ignore everything else that “doesn’t make the beer taste better”, they trust your judgement and basically leave you alone.
That leads to my second point, in second tier cities, you see comp go from around $80K —> $115K -> $150K —> $175K, junior -> mid (pull well defined tickets off a board) -> Senior (leads larger initiatives) -> Senior+.
For instance look at what Delta airlines pays based on Atlanta.
https://www.levels.fyi/companies/delta-air-lines/salaries
Why hire a junior at $80K when you can poach a former junior now mid level ticket taker for $115K?
[1] after pivoting slightly to cloud + app dev customer facing/hands on keyboard consulting, I’m at a new plateau that’s higher.
I bet you a senior could do with one good prompt to Claude what a junior would take a day to do before AI - and take time away from the senior.
Meanwhile, I've never once seen a coding agent give a brilliant solution or design to just about anything, and anything with the barest whiff of undefined-ness will simply zero in on your existing biases.
This whole thread reads like absolute insanity to me. I love getting new junior devs. They do great work.
https://docs.aws.amazon.com/boto3/latest/
Or do the same for IAC - same surface area - and use Terraform on one project, CloudFormation on another, and the CDK on a third and to generate code for you when you give them the correct architecture. It took me a day to do that before AI depending on the architectural complexity and I know AWS well (trust me on this). How long would it take me to delegate that to a junior dev? It took ChatGPT 2 minutes before I started using Claude just by my pasting a well labeled architecture diagram and explaining the goal.
It took me about 8 hours total to vibe code an internal web tool with a lot of features that if I had estimated before AI, I would have said a mid level developer would have taken two weeks at least. It wasn’t complex - just a CRUD app with Cognito authentication. How long would it have taken a junior developer?
I'd gladly take a junior dev to do any of that work there, because they can think for themself and not hang onto any bias you unknowingly build into the prompt like it's a religion.
https://www.levels.fyi/blog/swe-level-framework.html
Junior - everything is spelled out in excruciating detail, the what and the how. They are going to be slow, not know best practices, constantly bug other developers and you srs going to have to correct them a lot.
Mid level developer - little ambiguity on the business case or their role in it. They are really good coders in their domain. They have the experience to turn well defined business requirements into code. You don’t have to explain the “how” to them just the what. They should have the ability to break an assigned “epic” based on the business requirements to well defined stories and be a single responsible individual for that Epic maybe working with juniors depending on the deliverable or other mid level developers.
A senior developer works at a higher level of ambiguity and a larger scope, the business may know they want something. But neither the business or technical requirements are well defined. Think of a team lead.
Senior+ - more involved with strategy.
If I have to define everything in great detail anyway, why not just use AI? It can do it faster, cheaper, more correct and the iteration is faster. I would go as far as saying in my recent coding agent experience, a coding agent is realistically 100x faster than a junior developer since you have to give both of them well defined tasks.
My experience with Claude code and codex recently is that even the difference between a mid level developer and a coding agent is taste when it comes to user facing development, knowing funky action at a distance, and knowing the business, with a mid level developer you can assume shared context and history with an ability to learn.
So again, why do I need to hire a junior developer in the age of AI?
> If I have to define everything in great detail anyway, why not just use AI?
You don't have to define everything. And to do so is detrimental to their growth. If you're their mentor, you're supposed to give them problems, not recipes. And guidance may be as little as an hint or pointing them to some resource, not giving them the solution outright. The goal is not to get a problem solved (that's just a nice-to have), the goal is to nuture a future colleague.
Why should I hire a junior who doesn’t know the what or the how. Instead of hiring a mid level developer who could be an excellent developer who can turn business requirements into code and is more than likely better at certain things than I am since they live and breathe it everyday and can both do the work without supervision and can offer valuable advice and say something that might convince me that I didn’t think things clearly?
Reminding you that the difference above a mid level developer and a “senior”/“senior+” is scope and ambiguity not necessarily technical depth in one area.
What does a junior developer bring to the table that I should use my open req on?
It would still be a waste of a seniors time to write that prompt. They should have more important things to spend time on
If you have to be that detailed anyway - you might as well use AI.
I'm very sorry for you that you think that way
I’m not going to work as a charity and neither are any of my coworkers. We are all here to exchange labor for money.
Even when I was at a startup before 2020 and I did have the ear of the CTO and the founders I knew my ultimate mission was to do what was needed to get acquired and before that I knew exactly what my mission was when k was hired to lead the tech initiatives as we were acquiring companies “find efficiencies” and go public.
Or do you think I could have convince anyone of anything as an L5 at AWS in the middle between architect at a startup and my current company?
It's about money, and the actual solution would be to lower pay at senior level and give it to juniors, with some lock in agreed by the junior in exchange for this grace.
I doubt the vast majority will agree to this.
I see a lot of Sr engineers get very frustrated by how much time they have to spend helping Jr engineers. But, that’s the job, or at least a big part of it.
Or at least it was.
If at that point it's clear (to me) the situation is not salvageable, it's a management issue, I've done my job.
Kraft 1977 Programmers and Managers talked about this if I recall. Still the best alternate take on our industry I have ever read.
There seems to be some nonsensical belief that there exists this endless stream of positive NPV projects to take. No... reality is not like that.
Sure there’s a wide range of skills and you can’t just hand any task to anyone and expect it to work out but some fresh collage graduates are more capable than the average person with 5 years of professional experience. At the other end you need to focus on whatever they actually are capable of doing. 40+ hours a week can slowly expand even an extremely narrow skillet as long as they’re a hard worker.
1 new Jr every 2 years works quite well for a team of 7+ developers.
But with a team of 7, I can’t believe that giving them all a Claude Code subscription wouldn’t be much cheaper and much more productive than hiring a junior. A junior though with AI is more dangerous than a junior without.
I’ve seen many people stick around for a surprising amount of time while severely under compensated. I suspect that’s why HR does it.
I find AI tools make everyone better at exactly the same kind of problems, which means a larger percentage of what’s left over is more cheaply done by Jr’s working without AI assistance.
Fascinating. I am finding the exact opposite, like complete 180
Physical labor may be a tiny fraction of what a team of developers do, but I’ve seen what amounts to several thousand dollars spent on that kind of silly task because teams leverage the tools they have.
The point obviously still stands, and no I am not suggesting using Jr devs for physical labor alone is worth adding them to the team. Rather that “Work” includes a very wide variety of tasks that need to get done.
this part I find fascinating. most places I worked (30 years in, 10 as a contractor so quite a lot) the distinction between Jr, Mid and Sr falls exactly into the kind of works that they do. I, as a Senior, often work on hard shit, Jrs are not (yet) entrusted with those problems and work on entirely different set of problems. I cannot compute how AI makes everyone better at exactly the same kind of problems, problems I am solving today few people on my team are working on and then same goes down the "pyramid"
Automation always runs into diminishing returns for similar reasons. If 99.99% of a workload is embarrassingly parallel, what remains becomes important once you can throw enough cores at the problem.
You’ll see a guy in a multi million dollar crane lifting multi ton objects and then people using ropes attached to that same load for final positioning etc. What you don’t see is people using ropes to lift bricks 20 stories by hand as the crane lifts multi ton pallets of bricks as automation is taking care of that kind of task.
Junior devs are by your own explanation not useless. They are the most important human investment in your project.
Reminds me a bit of the quote
The manager says "what if I train them and they leave?" And the response is "what if you don't and they stay". Leaving unskilled and underdeveloped people in you organization is a recipe for disaster.
As should have others, which the university education system should have made sure.
The fact that some people come out of 4+ years of software engineering education utterly clueless means that they somehow managed to dodge having to build anything, I think means that they will never get good at any point in time, as they either were very talented at dodging having to build things, and I don't think that talent is going to abandon them, or they couldn't really grasp the basics in an environment designed for just that.
With that said, I think you can see for most juniors, what you can expect out of them in terms of pure coding ability - sure a lot of them have room to grow, but I've met so many great people who were very young, yet were useful from day one.
In fact, if you have the willingness to grind away at some problem, that puts you ahead of a significant amount of the pack. I have had the misfortune of working with people who lacked any demonstrable skill, and had coping strategies for having to deal with any sort of hardship. Getting useful work out of them was a challenge in of itself.
These people managed to get the years in to be considered senior, and are probably dispensing their wisdom 'mentoring' juniors somewhere else, and are no longer expected to actually contribute to meaningful issues.
If you look at the general topic shift on HN over the years it's obvious most people are getting into tech because they want power and money, not for love of tech
I think that is a bit presumptuous, even if there is a hint of truth there. Just because a kid didn't grow up around computers and programming shouldn't exclude them from the tech path or mark them as imposters/pretenders.
Rather because you want them to go away, because management conveniently forgot to reduce your load to account for time spent on mentoring.
We havent dont it and I never seen something like that.
https://htmx.org/essays/yes-and/
Everyone else: we must let the juniors write the code.
Seniors come from juniors. If you want seniors, you must let the juniors write the code.
The average tenure of a person in engineering role is so short that very few employers are thinking about developing individuals anymore.
The actual way this gets approached is "If you want seniors, you must hire seniors".
I'm not sure how this plays out now. But it's easy to imagine a scenario like the COBOL writers of the last generation.
I definitely think this is the case. Almost all software is unbelievably bad. Almost all software gets worse the longer it exists. And almost all software does not meet its business purpose - it's merely contorted by the customers to just barely meet their needs.
1) People hearing "an LLM is as smart as a junior" and actually opting for the LLM subscription price instead of hiring a junior
2) The gap between senior and junior in terms of performance has become larger, since the senior devs had their hands get dirty for years typing stuff out manually AND also tackling challenges.
This generation of junior-mid developers will have a significant portion of the "typing stuff" chopped off, and we're still pretending that this will end up being fine.
It used to be a lot easier to find devs that knew assembly and could navigate call stacks through memory by hand because a lot of folks had to learn that to get their job done. Now higher level languages have mostly eliminated that level of operation.
The same applies to infosec roles. It is 10x harder for junior infosec folks than 20 years ago because there are a bunch of skills you need in infosec that today's mainline dev experience doesn't need, but were more common a while ago.
Case in point, I remember working with a partner company's junior engineer on some integration. They needed some hard-coded constant changed and time was of the essence. I told them to change a couple bytes in the elf binary directly. They looked at me like I was a wizard. I thought it was a fairly pedestrian skill having grown up reversing computer game save files.
On the plus side, as a dev with 30+ years of experience, I am commanding a very good contract salary these days. Revolving door companies stuck in process hell and product rot, and cannot deliver new value, so they’re scrambling to find experienced devs that cost a premium. My salary today makes up for peanuts at the start of my career.
If coding is an art then all the juniors will end up in the same places as other struggling artists and only the breakout artists will land paying coding gigs.
I'm sitting here on a weekend coding a passion project for no pay so I have to wonder.
Companies know this as well, but this is a prisoner dilemma type situation for them. A company can skip out on juniors, and instead offer to pay seniors a bit better to poach them from other companies, saving money. If everyone starts doing this, everyone obviously loses - there just won't be enough new seniors to satisfy demand. Avoiding this requires that most companies play by the rules so to say, not something that's easily achieved.
And the higher the cost of training juniors relative to their economic output, the greater the incentive to break the rules becomes.
One alternative might just be more strict non-competes and the like, to make it harder for employees to switch companies in the first place. But this is legally challenging and obviously not a great thing for employees in general.
And therefore in my experience not every senior engineer would hack it as a senior engineer at a more intense company myself included.
This isn’t a software unique experience. It’s life.
Seniors should be prepared that Seniority will mean different thing and path of getting there will be different too.
Just like there was a shift from lower lvl languages to high level
I think my argument against humans still needing to know how to manage complexity, is that the models will become increasingly able to manage that complexity themselves.
The only thing that backs up that argument is the rate of progress the models have made in the last 3 years (ChatGPT turned 3 just 3 months ago)
I think software people as a whole need to see that the capabilities won’t stop here, they’re going to keep growing. If you can describe it, an LLM will eventually be able to do it.
I do not want more juniors, because given time they will be my competition.
I think the allure of high TC (150k base or more for entry level) led to many non engineer brained people to enter tech.
Many people can do rote memorization, it’s even ingrained heavily in some cultures iykyk. However they can’t come up with much original or out of the box thinking.
On the other hand, a SE2 was asking me for help with something that was way off track from what they should have been doing. This isn’t a new SE2, but someone who seems the have topped out as an SE2. Anyways, they were not understanding anything I was pointing them towards, so I got frustrated and just gave them the exact prompt to feed into their AI. The AI fixed it for them. They were amazed by the result, but should have been horrified by their uselessness instead.
Remember this simple fact - if you dont use it, you lose it. The cognitive damage these tools will create wont be largely visible on a macro-scale for a few more years yet. But people are eventually going to realise, all this work (pre off-loading to LLMs) once geared the brain to work in a particular kind of way that results in the generation of ideas for inventions to yield innovations and so on...
Personally Im only strictly hiring people who have not been exposed to the LLM-virus / people who are extremely disciplined with their use about it (which is difficult to determine).
I stopped doing scientific research years ago, but before moving on to other things, I had, like many others, I imagine, certain problems that I wanted to study, but given the lack of time and other concerns, I would never have picked them up again. I launched Codex, and it managed to untangle old files and analyses, find datasets that I didn't know where they had ended up, launch analyses under my guidance, and build visualizations that would have taken me days, if not weeks, to complete.
Of course, I have experience, I know what needs to be done, and I had to correct some errors made by Codex (I am paying for Codex and Gemini now, but I could go back to paying for Claude too), but I was amazed by the quality of the analyses.
To give an example, I had a dataset of weather observations that I had downloaded from a website years ago, hundreds of time series across weather stations. Codex managed to recover the missing time series, even though the website is no longer active, by first comparing the downloaded data with the data I had, and then also finding a digital elevation model.
Now I will guide Codex in developing a model of extreme events that will allow me to have a spatio-temporal model of extreme events that, without Codex, I would never have had the time or inclination to build.
I haven’t have written code aside from tweaking stuff here and there in probably 3 or 4 months. Before that I wrote code by hand every day for many years.
I’ve found a lot of fun parts of my new workflow that I enjoy. I still miss being fully immersed in a problem deep in the files… and sometimes it feels like homework reading so many implementation summaries from Claude because the feature spans 4 repos and is too much code to read. But I do love shaping the code into different solutions exploring in a way that is unique to ai native workflows. And I love building agent skills and frameworks with/around them and expanding it out to more aspects of the company or life — there’s deep work to be had that still feels like hacking in the trenches. I get a lot of the same satisfaction in different ways, and there’s a lot of exciting novelty to explore that was previously out of reach due to time and energy constraints.
Also I don’t like our backend stack and I hate React / NextJS to the degree of derangement syndrome — I am so happy that I don’t have to write it and I can just focus on UX, making customers happy / lives easier / shaping the software into better and better versions of itself at such a faster pace.
People who learned good software engineering intimately before the inflection point are extremely lucky right now. Existential dread and the stages of grief have been a part of the journey for me too sadly, but there’s a lot to celebrate and explore with the right attitude.
Since I have been a software architect for the past 7-8 years it feels in some ways that that experience makes using claude code a lot more productive than for my non-architect colleagues, as I am able to steer it much more effectively whether directly in sessions or via custom skills / mcp.
The big issues right now for me are hiring and manager expectations, I changed positions last fall due to mass layoffs and it took me 3 months to find one: having leetcode interviews in the current climate seems completely useless, even more than it was in the past, and system design interviews are so formulaic it also feels like a crapshoot. Plus every job getting hundreds of AI generated applications makes actually being considered in the first place quite difficult.
Manager expectations are also ridiculously inflated nowadays, it seems most action items that come are claude written with fantastical random statistics (if you add caching you can make your backend 98.3% faster!), and it takes so much time to fight this and unrealistic team velocity expectations.
Interesting times, I do feel lucky I have had a long career, but I very much fear the ladder being pulled up even more than it has been when outsourcing because widespread. I know everybody says "things always change, new opportunities will open up to compensate for the ones that are being lost" but this time it does feel different, and not in a good way.
In any case, I think if one wants to continue to have a career in this industry for years to come, it's basically table stakes to become fluent in using these tools.
My son, working in another dev company, reports the same - he basically hasn't written much actual code for about three months. It's a massive change.
It will always be preferable to work on an understandable codebase, because that maximizes the AI's affordances too. And then the AI can explain things to you. A skilled human will always have a lot of solid knowledge relating to their hyper-specific niche that isn't part of your average general purpose AI, so humans will obviously have a key role to play still.
- can you add an index page that shows the list of every post ever written? this page requires too many hoops to navigate https://beabetterdev.com/2026/02/
Now anybody can vibe code something that seems to work with a million landmines.
How can they develop the intuition around this given that they don't know what they don't know? How can we review it and help them get there?
Maybe we can figure it out, but I'm not sure it's easy or obvious.
Pretty much all software projects seem to peak, and then decline in quality. There are only a handful of senior devs in the world who are actually good programmers.
> Through our software pursuits, the mechanistic myth has spread beyond its academic origins, and is now affecting every aspect of human existence. In just one generation, it has expanded from worthless theories of mind and society (behaviour- ism, structuralism, universal grammar, etc.) to worthless concepts in the field of programming (structured programming, object-oriented pro- gramming, the relational database model, etc.) to worthless software-related activities that we all have to perform.
> What is worse, our mechanistic beliefs have permitted powerful software elites to arise. While appearing to help us enjoy the benefits of software, the elites are in fact preventing us from creating and using software effectively. By invoking mechanistic software principles, they are fostering ignorance in software-related matters and inducing dependence on their systems.
> Increasingly, in one occupation after another, all we need to know is how to operate some software systems that are based on mechanistic principles. But our minds are capable of non- mechanistic knowledge. So, when the elites force us to depend on their software, they exploit us in two ways: by preventing us from creating better, non-mechanistic software; and by preventing us from using the superior, non-mechanistic capabilities of our minds.
> The ultimate consequence of our mechanistic culture, then, is the degradation of minds. If we restrict ourselves to mechanistic performance, our non-mechanistic capabilities remain un- developed. The world is becoming more and more complex, yet we see only its simple, mechanistic aspects. So we cope perhaps with the mechanistic problems, but the complex, non-mechanistic ones remain unsolved, and may eventually destroy us.
Wow, I'm immediately hooked. The book is free online as well to download.
"it's not x, but y", with bonus em-dash:
> your value as a developer is not in your ability to ship code. It’s in your ability to look at code
"But here’s the thing."
"And honestly?"
https://www.ivanturkovic.com/2026/02/25/ai-made-writing-code...
That's the same style. Plays well there, tho, it seems. Even when an agent writes it.
I am not a Python developer or developer for the matter but Perplexity AI did help me to understand the bsic of Python for API requests and get projects delivery with 94% code coverage and vulnerability free.
AI also reduced the time spent with Ansible playbook generation, but I do know Ansible, I do know Linux, homelab is my hobby so I am not just doing copy and paste. I review whatever it generates and correct it when required.
In the companies I have worked and work, I see developers themselves confessing "I used AI, it works but idk how"!
AI itself does not make you useless, only and only if you used it as a smart search engine.
If you are doing copy/paste, you are going to get so screwed professionally speaking.
Folks are no longer learning and what they are doing, AI can do on its own.
That is making some developer useless.
Answer: juniors need to work with seniors, and the seniors need to teach the juniors, and the juniors need to learn to use LLMs to learn, not just to do the work.
I hired a junior "dev" who literally hadn't even completed an HTML course. Before AI I could not have hired them because they literally did not know how to dev. After AI, anyone with a little grit can push themselves into the field pretty easily.
As with everything in life: you can choose to hard route or you can choose the easy route and your results will follow accordingly.
I'm self-taught dev with multiple years of experience. I choose the hard route, even after AI. For me, programming is theory building, so I always choose understanding above all else.
Rock solid understanding of TypeScript, frontend and backed.
I have sent 100s of CVs. For Juniors, Mids and Seniors. Not even a single interview.
I will be glad for your thoughts on the matter.
Hard agree, but probably not in the way you're implying.
It's the difficult things that make life fun and interesting. A life spent going from one easy thing to another is a life barely lived at all.
Funny enough, I started working in 1996 professionally (and had been a hobbyist for six years before going to college). But it was only between 2012-2016 that I was a ticket taker without working with the end user directly - everything I’ve done has been B2B.
GenAI (and working remotely since 2020) has made me enjoy every part of my job.
so what is their value? proxy your requests to ai?
I mean, I'm a fairly senior dev, and have literally never completed, or indeed really heard of, a html course. Is that, eh, part of your average CS degree these days?
<marquee><h1><blink> welcome to cyberpunk’s j33t website!!!
:) :)
> Netscape has stipulated removal of the <marquee> element from the Internet Explorer during an HTML ERB meeting in February 1996, as a condition to removing the <blink> element from the Netscape
It's like nuclear disarmament treaties, but for annoying things.
Better stick to apis then I guess.
You don't get technical creativity reflexes by using AI. This is technical stagnation in the making. By cannibalizing its own sources, AI is ensuring that future generations are locked-in subscription models to do the most basic technical tasks. This is all obvious, yet we speed up every chance we get.
I wrote a similar post in this thread.
AI will deduplicate all of this
But for me it's been a signal that people have no imagination, so they are just burning tokens for no reason.
That sounds beyond wasteful.
We don’t need the same volume of developers to have the same or faster speed of innovation.
And conversely if there is stagnation there is a capital opportunity to out compete it and so there will be a human desire to do the work.
Tl;Dr. People like doing stuff and achieving. They will continue to do stuff.
ps it’s too much to claim other people don’t experience creative ideas using AI. You don’t really know that’s true. It hasn’t been my experience as I have had the capability and capacity to complete ideas on my back burner for decades and move onto the next thing.
At minimum, our current generation of leaders will have to get much better at managing resources and building people up. We have to up our games and build environments where the pursuit of deep understanding is permissible. Unfortunately with the current hiring issues, it’s totally understandable that young developers are scared to take time on tickets.
Just look at new math proofs that will come out, as one example. Exploration vs Exploitation is a thing in AI but you seem to think that human creativity can’t be surpassed by harnesses and prompts like “generate 100 types of possible…”
You’re wrong. What you call creativity is often a manual application of a simple self-prompt that people do.
One can have a loop where AI generates new ideas, rejects some and ranks the rest, then prioritizes. Then spawns workloads and sandboxes to try out and test the most highly ranked ideas. Finally it accretes knowledge into a relational database.
Germans also underestimated USA in WW2, saying their soldiers were superior, and USA just had technology — but USA out produced tanks and machinery and won the war through sheer automation, even if its soldiers were just regular joes and not elite troops.
Back then it was mechanized divisions. Now it is mechanized intelligence.
While Stalin said: Quantity has a quality all its own.
What is an idea really and what’s your definition of new?
If i get a LLM to spit out, I dunno, a deployment system written in haskell that uses bittorrent or something, none of those bits are new, but certainly there will be unique challenges to solve in the code and it’s a new system.
Where is the line for new? Is it in combining old ideas? If not then does any software have “new” ideas? It’s all combinations of processor instructions after all…
In other words, creativity in humans is arguably just as derivative as in machines.
What are your contributions again?
There have been lots of instances of knowledge being rediscovered even when it was previously published but sitting on some shelf forgotten. LLMs ability to digest large volumes of data will I think help with this issue.
We will still need to reproduce and verify conclusions but will be interesting to see what might come from this.
AI can innovate in synthetic-realm of novel ideas, while real-world novelty will remain untouched.
There are different types of novelties
And if AI was really about productivity they'd be talking about doing more faster with the same workforce, not reducing the workforce.
That's perfectly aligned with capitalistic motivations
Who cares if it's derivative slop or a straight up bootleg of something else so long as the number goes up
Also that's not a new idea, that "everything worth inventing/exploring has already been". It's precisely what AI reinforces, and that goes against human nature (and capitalism) as that statement has historically proved.
“It’s what the LLM said.” - Great. Now go learn it and do it again yourself.
In my experience it is the very rare junior dev that can learn what's good or bad about a given design on their own. Either they needed to be paired with a sr dev to look at things and explain why they might not want to something a given way, or they needed to wind up having to fix the mess they made when their code breaks something. AI doesn't change that.
If people use AI to generate code they don't understand, that will bite them. But it's an incredibly tool for explaining code and teaching you boring, rote incantations.
I can't count how many seniors have forgotten what it means to understand the code they're merging since AI coding tools became popular. So long as businesses only value quantity the odds are stacked against juniors.
As a junior, my top issue is finding valuable learning material that isn't full of poor or outright wrong information.
In the best and most generous interpretation of your statement, LLM's simply removed my need to search for the information. That doesn't mean it's not of poor quality or outright wrong.
As a general principle, take advantage of the fact that it can easily generate stuff. If you don't know whether something is true, have it prove it. Make a PoC/test/benchmark to demonstrate what it's saying. Have it pull metrics that you have access to. Add more observability. Create feedback loops (or rather, ask it to create feedback loops). They're very good at reasoning given access to the ground truth, so give them more ability to ground themselves.
They also have fantastic knowledge of public things, but no knowledge of your company, so your instructions should mostly be documentation of what's unique to your company. If it can write an instruction on its own (e.g. how to use git or kubernetes), it is a useless instruction; it already knows that. What it doesn't know is e.g. where your git server is. It also doesn't know what matters to your company: are you a startup trying to find product market fit? Are you an established company that is not allowed to break customer setups? etc. You might even be able to ask it what kinds of questions a senior might ask about how a company/team works when coming into a new job, and then see if you can answer those questions (or find someone who can). In fact, go ask chatgpt:
> What are some questions a senior engineer might ask when coming into a new role to make themselves more effective?
> What are some questions a principle engineer might ask when coming into a new role to make themselves more effective?
> What are some questions an engineering manager might ask when coming into a new role to make themselves more effective?
> What are some questions an engineering director might ask when coming into a new role to make themselves more effective?
I work a lot with juniors, and they all seem to prefer watching video's. But videos in my opinion are a slow way to gain superficial knowledge.
Do it the hard way and read the official docs, it will be your superpower. Go fast over the easy parts, go slow over the hard parts, it's that simple.
>the AI group averaged 50% on the quiz, compared to 67% in the hand-coding group
And why would they do better? There's less incentive to learn because it's so easy to offload thinking to AI.
[0] https://www.anthropic.com/research/AI-assistance-coding-skil...
AI makes students dumber, not smarter.
Super great that it’s used to pump out tons of code because upper management wants features released even faster than before. I’m sure the junior devs who don’t know a for loop from their ass will be able to learn and understand wtf Claude is shitting out
It is but how do you teach to people who think their new profession is being a "senior prompt engineer" (with 4 months of experience) and who believe that in 12 months there won't be any programmer left?
You can use AI as a teacher but how many will do that?
The skill of the very top programmers will continue to increase with the advent of new tools.
However, it’s got a lot of downsides too.
We were just pretending otherwise, now it is explicit.
I bet the number of successful junior devs is going to keep going up while the number of people coasting slowly tends to zero.
The worst is, they think they know exactly what they need to learn, and also think they can make good decisions.
It may be AI has raised the bar, but also that junior devs out of uni are just much worse than they used to be.
Theres been a lot stuff going in the UK that goes back to high-school level stuff. Grade inflation etc.
Its a disaster.
I am a Junior dev (graduated in 2022) and I am gainfully employed at the McGowan institute, earning an okay salary, with colleagues who actively use LLMs, but there is zero talk of firing me or laying me off due of LLMs. I personally avoid LLMs for most things other than:
1) Google search which actually works 2) translating MATLAB, which I have never learned (and probably won't ever)
There is a whole team of Junior devs, and actually on Friday I got an email asking if I could refer another junior/entry level. Granted it was for a 1 year contract, but still.
I really do not get this hype.
It takes time to become a junior too. Emerging tech landscape could affect skills and knowledge that is expected from entry level job applicants.
Steve Jobs famously accurately called this out years ago [1].
Xerox, Boeing, PC manufacturers (who basically created the Taiwanese makers through a series of short-term outsourcing steps), etc. But there are two examples I want to talk about specifically.
First, one lasting impact of the 2008 GFC was that entry-level jobs disappeared. This devastated a generation of millenial college graduates who suddenly had a mountain of student loan debt (thanks to education costs outpacing inflation by a lot) but suddenly no jobs. It became a bit of a joke to poke fun at such people who had a ton of debt and worked as baristas but this was a shallow "analysis". It was really a systemic collapse. Those entry-level workers are your future senior workers and leaders. Those jobs have never come back.
The rise of DVR/TiVo and ultimately streaming brought on a golden age of TV in the 2000s. It was kind of the last hurrah for network shows that produced 22 episodes a year before streamers instead produced 8 episodes every 4 years.
But what made this system work was an ecosystem. Living in LA, Atlanta and a few other places was relatively cheap so aspiring actors and writers and entertainmnet professionals could get by with secon djobs and relatively low income. These became the future headline actors and senior professionals. Background work and odd jobs were sufficient. Background work also taught people how to be on a set.
Studios still had large writing staffs. Some writers would be on set. Those writers were your future producers and showrunners.
Part of what supported all of this was syndication. That is, networks produced shows and basic cable channels would pay to rerun them. Syndicating some shows was incredibly profitable in some cases (eg Seinfeld).
So the streamers came along and stripped things down. They got rid of junior positions. They adopted so-called "mini writing rooms". Those writers didn't tend to ever be on set. The runs were shorter and an 8 episode series couldn't support a writer in the same way a 22 episode series could. The streamers then were largely showing just their own content so residuals and syndication fees just went away.
All of this is short-term thinking. Hollywood has been both a massive industry and a source of American soft power internationally by spreading culture, basically.
I think the software engineering space is going through a similar transformation to what happened to the entertainment industry. A handful of people will do very well. AIs will destroy entry-level jobs and basically destroy that company and industry's future.
I predict in 10-20 years we'll see China totally dominating this space and a bunch of Linkedin "thought leaders" and politicians will be standing around scratchin their heads asking "what happened?"
[1]: https://www.youtube.com/watch?v=K1WrHH-WtaA
Security gets outsourced to audited layers and Ai does the stupid boring jobs of gluing them together. Some developers become more specialised and niche, some pivot to product, some pivot to other areas.
There are plenty of people who joined software for the payout and hate it. Plenty of people who grown to hate it over time.
I've been enjoying using it to figure out toy projects but paying an API and depending on a service to code is very sour. I really hope hardware specialises and local models become good enough. Gate keeping development on centralised services would be a loss for everyone and ripe for dystopian outcomes.
2. Unlike in the past, you can't program the technology without having billions in cash.
First of all, developers who only learn to code in a short bootcamp are often not well prepared — but that was already true before AI. In the past, many junior developers were students who were learning programming while studying, not just people who took a quick Python course on Udemy.
Instead of declaring junior developers useless, we should raise the standard: learn how to code properly, how to maintain code, understand networks, and build strong foundations in math and computer science. A well-trained junior developer is still extremely valuable and will always be needed.
There are lots of ambiguous situations where a search and human "inference" can solve that AI still can't.
I can tell the AI to do something, it uses the worst approach, I tell it a better way exists, it says it validated it does not, I link to a GitHub issue saying it can be done via workarounds and it still fails. It's worse for longer tasks where it always shortcuts to if it fails pick a "safe" approach (including not doing it).
Funny enough we need the junior to guide the AI.
Companies will continue to demand it (I know people working at companies that are literally looking at AI usage as an individual performance metric, puke emoji), and probably 95% of humans using pretty understandable human logic aren’t going to work harder than they need to on purpose.
I wish I had a solution. I think the jury is still out on whether programming will be a dead profession in a short number of years, replaced by technical protect operators.
Don't be so dense. It is a figure of speech. We all were useless at some point. Nothing to be ashamed of
I’ve experienced similar things and so understand the feeling, but this is poor leadership. If someone on your team makes it all the way to a code review and still thinks ‘the AI suggested it’, you failed to train them, failed to set expectations and they have justifiably lost more confidence in you than vice versa.
If we analyze the rest of the article through the lens of weak leadership, it sounds less like an AI problem and more like a corporate leadership problem.
Eg. When using Ai Deep Research for hard to debug issues, asking for the why makes for a much better response.
Invest in the training of your junior employees.
The cost of generating code is now laughable, so that's not the economic value brought to the table by a junior engineer, or really, any engineer. The value is now generated by knowing what code is good code. You're going to have to have talks, book clubs, hackathons, and the like to get your juniors to know what good code is. Do they know what design patterns are? How about good architecture? If they can't name a few design patterns, you're not investing enough.
I think the irony of AI is going to be that it will make the remaining software jobs properly hard again, and implementers (ex coders) will be able to succeed with even less code knowledge than before.
I worked under people who started as juniors that way but were politically savvy. Or just ruthless. And pushed their way to the top by stealing projects, lying through their teeth, and other such tactics.
They were slowing down progress because their methods involved sabotaging the progress of others because it might make their own contributions shine a little less.
They were the cause of using libraries like leftPad all through business critical code, and cutting anyone down who dared to simply question why.
These things cause ripples. The smartest and most capable staff leaves, what results is a churn of the same kind.
But hey, they get a trip to Mexico every year and burn through millions every two years. Profit any day now.
I could care less about why either Claude, Codex or before that a developer was using a for loop or a while loop. I did and do care about architecture.
I’m no more going to review every line of code with AI than I am when I was delegating to more junior developers. I’m going to ask Claude Code about how it implemented something where I know there is an efficient way vs naive way, find and test corner cases via manual and automated tests and do the same for functional and non functional requirements.
In a world where "Code is no longer a skill," the only way to survive is to stop being a "Prompt Operator" and start being a "System Auditor." If you can’t explain the trade-offs of the architectural pattern the AI just gave you, you aren't an engineer, you're just the person holding the screwdriver while the machine builds the house.
I imagine lots of established companies will struggle migrating back to that pattern, but I have to think most new companies will head in that direction, which should let them catch up quickly.
Anyway that's my take. We'll see.