Just to make this clear up front: I was always very skeptical of LLMs (I’ll never call them AI) and still see them as fundamentally limited and unreliable. See my post history if you don’t believe me.
Having said that: I work in business software and the models have progressed to the point where typing code and writing classes and functions by hand has become uneconomical. We review the output closely to avoid the idiocy of “vibe-coding”, but the quality has improved to the point where we rarely have to outright reject solutions. The discussions have moved to high-level architectural points, where we just request better implementations than the first-shot. We get them, review again and move on. Maybe there are deeper, latent problems beeing embedded in the code-base through this process, but we can’t spot any although we are looking intently.
And just like that, my profession has died. Nobody in my team writes code anymore. Things that would have taken days are now done in minutes. We are all just considering design and architecture. We are changing our processes since they are not fit for the new way of doing things. Scrum? What’s even the point anymore? We can work through a sprint-backlog that would’ve taken two weeks in two days now. We do reviews 90% of the time. When we request changes they come back in minutes.
I have a feeling like the ground has been taken from below me. My son wanted to become a developer, that isn’t a real job anymore. Everyone around me feels the same way, including our management. We are a small team and a small company, everyone is effective and our jobs are not in danger as long as our product is succesful. But my profession is essentially dead. It’s a craft I honed for many, many years and the craft itself is now automated. I wanted to improve my typing skills to code faster, this is now a ridiculous endeavour. We don’t know what comes next, but I now only have my analytical skills and knowledge of good architecture to fall back on.
And it all changed so fast. I don’t think this will transfer to other professions so easily, but for programming LLMs ended it all in the span of the last four months. I thought I knew what my future holds as a senior dev, now I can barely see past christmas.This is a nightmare.
I’ll never call them AI
Good, because they’re SI now /s
Game developer here. Lots of people want to become the fabled “10x” developer (where did it even come from), but at best they’re just 1.1x developers, and at worst they’re even worse than before.
There were many deterministic tools for what AI can do. Save for some major differences: the AI doesn’t want you to spend weeks to months to learn a CLI tool, that has unintuitive key bindings, has unintuitive names for key operations; all while it can be controlled by natural language. The natural language is a trap, since it results in a very nondeterministic tool, while often the main problem is a previously elitist userbase that wants you to either never raise any question why it could get a GUI interface, or that they really gatekeep you from certain aspects to try to direct you into the right ways of using something. I got told by GDB users that I have to learn scripting, because that’s the big selling point of CLI tools, all while I couldn’t find anything about checking values in case of a break — it was
print, but they thought it was less important than writing scripts that automated stuff, or wanted me to learn an unintuitive name for a common process and then ask that. Some instead talked me about how much they loved reading manuals, and I should do the same (still didn’t find whatprintdid). This all while I could use RemedyBG on Windows, a fully GUI debugger, with everything having written onto the GUI, no lengthy manuals need to be read through to learn they call checking values as “abracadabra”.Art kind of has a similar issue. You don’t need to learn everything, however some elitists are really want you to leave certain styles behind the moment you hit your twenties. Or took the “good artists can do life paintings really well” way too seriously. And if you’re really unlucky, your main interaction with artists could be limited to these people.
I’m gonna try to not make this a pro-AI comment, but I’m still going to try and offer you a glimpse of hope as a fellow person who used to handwrite code for a living and sometimes still does. Unlike a lot of other people using AI, I only really started using coding agents a few months ago when it was clear they’re getting pretty good.
We are all just considering design and architecture.
So you now get to think more about the what and the why, not the how. Not ideal if what you want to do is solve clever technical problems*, but on the other hand, code was always a tool to build solutions, not an end goal unto itself. In a software project, code is the beams, the nails, the planks and so on. You, an architect, design houses. The house won’t exist without the minute details, obviously, but what the customer needs is a well laid out solution that is also executed well, not just extremely well sanded supported beams.
We are changing our processes since they are not fit for the new way of doing things. Scrum? What’s even the point anymore? We can work through a sprint-backlog that would’ve taken two weeks in two days now.
Is that a bad thing? I always hated scrum. I thought everyone except team leads did.
We do reviews 90% of the time. When we request changes they come back in minutes.
That part sucks. But I feel like the more senior you get, the less you were always able to avoid reviews. As an absolute junior, I did 0 reviews. Later on, I spent an hour or 2 a day doing reviews after about 3-4 years… But I’ve also seen people with 15 YoE doing mostly code reviews all day before AI was a thing.
* There are still projects where this manual management is quite necessary. Look at ffmpeg, they use inline assembly to eek out extra performance. Super high performance projects in particular, will still need manually written code for the foreseeable future, even if AI can help you profile things quicker, etc.
I feel this one. The company I work for just layed off over half the software team, from engineers to product managers, it has been brutal. I have been transitioning into architecture for a while now so I could see this coming, but it is devastating to our trade.
I work very low level embedded stuff, and over here LLM still can’t do shit, outside of some very specific applications, and everyone pro enough could do it just as fast anyway. However, I do witnessing the death of profession here too, people practically over the course of a year stopped being able to think for themselves. Most of the people are doing debugging through LLM, asking it the most benine questions.
At this point, I just wish I will die before the total collapse.I still try and do some coding by hand. Agents have improved massively and they’re now really capable but I can’t see how anyone is going to fully automate the software development process. If there’s even the slightest chance that an agent can go off track and cause an outage, you’ll need a person to sort it out. If nobody can understand the black boxes that these things make when unattended, who’s fixing that shit? I’m yet to work for a company that is okay with a production build being down for any period of time.
There are companies running the narrative that their developers don’t write code anymore but unless they plan on fully automating the process and taking humans completely out of the loop, I don’t see how that is sustainable. There will be a point when developers realise they have no future at your company so they’ll leave, taking their knowledge with them. The bridge between your software and your business is now an LLM. That’s a huge amount of trust to put in something built on probability and has a limited context window.
AI isn’t disappearing but at some point there is going to be some high profile events that even the CEOs can’t ignore. Their job is money and if something in their business is losing them money, they will change it. That could be outages, customer dissatisfaction or their development ‘team’ is now costing them a fortune. It just sucks that we have ride this shit out.
I don’t know man. I’ve got a project I built by hand for years now. It’s big and complex. Around 200k lines of code. I don’t think AI could do that.
Ok, it could probably build something similar. Something that has the same features. But they wouldn’t work well.
My project is quite efficient at this point, and I’ve never experienced any AI apps even close to that. The bigger they get, the slower and buggier they tend to be.
I am curious to see if any vibe-coded app is still maintainable in 6 months.
Well-architected ones will be. One-shot apps probably not so much. You get out of it what you put into it IMO.
If you describe a good architecture to build, you’ll get a more maintainable solution. If you just say “build x don’t make mistakes”, you’ll get… something.
The other big problem is persistence of course. If you just oneshot an app and shit it out on github and never come back to it to fix bugs or whatever, then the issue isn’t the LLM output’s quality, it’s the lack of dedication. And LLMs make this so much easier, because it used to take months or years to build something useful so you HAD to be dedicated.
Anyone can use an llm but the quality of the output is significantly different in the hands of someone that knows what they’re doing vs someone that doesn’t. Software development as a profession won’t die. The field and necessary training will evolve.
I could give everyone in this room a chainsaw and and hour and I bet at the end the results are wildly different.
They’ll be back, and begging: https://en.wikipedia.org/wiki/Ironies_of_Automation
I don’t feel this existential dread yet. I do write less code yes, but many of the best libraries, products, etc were written by hand.
Engineering is far from dead because you still need an understanding of how things come together to use AI effectively for the things you use it for. It’s just another tool.
On the brightside, for those of us that have been too tired after work to write code in our spare time now have the time to do it. Write that game. Make that lib. Nothing is stopping that.
We went from wire wraps to switches to punch cards to assembly and terminals and compilers and this abstraction or that. It’s just the next abstraction layer.
Careerwise? The biggest issue is dumb people with too much authority that think they can replace all human talent. A real risk, but I bet that will never work.
Weather the storm.
Dumb people with too much authority
So, the MBAs are now double MBAs?
The purpose of your son learning the profession is to scrutinize the product. We’ll all be “vibe coded” hackers now, sadly.
I worry about blackboxes inserted by this vibe coded junk. Sure, the LLM may not be malicious, but it could narc to a foreign company and now whatever your product would be is now offered at unbelievably lower prices. And what about “spy kits,” might be included in usage.
As a (not so anymore) newly graduated computer engineer, this made me cry. Whenever I see threads like this the consolation thrown around is that someone with experience will always need to check the code and seniors didn’t used to write much code anyways. And juniors are all LLM jockeys anyways so who cares.
Well fuck me I guess, the last train to break into the industry departed 3 years ago when I thought I was learning my profession. A couple months ago I felt principled, I wanted a job where I wouldn’t be forced to vibe code. Now I’ll take anything.
At this rate even if I do manage to get hired, and even if by some muracle I’m allowed to write code there; the experience I gain from it wont be valued the same as someone who started working before LLMs became widespread. I’m a part of the slop generation now.
Makes me wonder what answer pr people want when they ask if and how I use ai. Do they want me to use them or not? If I use them, I accept that I have no place among the senior developers of tomorrow, if I don’t I’m missing on the one skill that companies looking to hire me expect me to have for the sake of something likely to be obsolete.
Maybe I shouldn’t have made being a developer a part of my identity while still in university. Is it time to let it go? Accept that I’ve spent years on something I wanted and believed would lead to a good life for it to just not pay off? That the safest most sensible fucking life choice imaginable just left me unemployable?
Maybe it’s for the best, as they say “Don’t turn your hobbies into a job”. But it breaks my heart to let go. Where would I even pivot here?
Sorry if this was rambling. This is a cry for help
Do they want me to use them or not? If I use them, I accept that I have no place among the senior developers of tomorrow
Untrue IMO. A senior developer knows when to use which tool. As a future senior developer you’ll need to know when to use AI and when not to.
I see people who have been writing code and architecting systems for 20 years use AI to speed up parts of their workflow. More time left over for architectural work when 2 hours of debugging a stupid bug can be a prompt fired away while you go think about more big picture things.
If I had to interview for a job right now and was asked about AI usage, I would say that I’m definitely going to lean towards more manual work in the beginning to understand the projects and the tech stack better, and once I’m more comfortable with my knowledge, I’ll use more AI again, as I can verify its output. In the meantime, it’s still a fantastic search tool too.
I’m not an expert, but maybe you can say you use LLMs for some projects and develop others by hand for the best of both worlds?
How’s the maintainability and performance of the output? You say you review it, but I don’t see how LLMs are going to make something that is going to last for years.
I have a feeling that it is very good at generating huge volumes of code, but not at understanding it, which is needed to actually maintain the code.
It went from bad to good in the recent months. Sometimes it’s still bad and we catch this in reviews, but generally the quality is high and increasing.
How does it do with tech stack ports? For example, an existing application written in .NET Framework WebForms, and you want the AI to convert it into Nodejs/React? It sounds like it can, though I’m curious about whether it can outright upgrade all the legacy software in a day.
I wouldn’t know, these are not the day to day tasks we do.
Programming is a use it or lose it skill. Eventually the programming skills of these LLM output reviewers will atrophy to the point where they are no longer qualified to review LLM output. Not to worry, I’m sure big-tech will have a shiny new LLM output review automation for rent soon.
Yeah LLMs sure can code but it is really a soul crushing experience. You can use AI to learn technical things much faster than before (provided you occasionally cross check fishy claims) but then it also feels like “what is the point if AI can do it 100 times faster than me and only requires design handholding”. It is like playing a game in god mode, fun for a couple minutes but really boring afterwards.
Nevertheless I will still be doing advent of code on my own every year as long as it exists. People who use AI to solve the problems there can eat shit, thank you very much.


