It's not AI psychosis, you're interpreting what he said to the extreme.

Anyone who has actual corporate team lead or management experience understand AI as effectively a junior dev who doesn't have great persistent memory. These devs using AI are reviewing, guiding, and validating the work given to them by AI just as they would from a junior dev.

The inverse of your statement is more apt; it's distressing to see people so angsty about AI usage. There are going to be skilless vibecoders and then there are going to be experienced devs (like OP) who figured out their AI workflow to multiply their productivity 2-5x.

What the future holds for AI model pricing-- that is a valid concern. But I don't think that's what you intended.

I no longer write code myself

this is just like being promoted from developer to manager. some people like it some don't. with AI there is another dimenstion: some people like managing machines instead of people, some don't.

it's not for me. i don't want to stop writing code. i don't mind to manage people but i don't want to manage machines (at least not with an unprecise interface/outcome as AI provides). consequently AI may be fine for this person, but it is not for me.

> It's deeply distressing to watch people fall into AI psychosis.

It's unclear what you're saying here... Yes, AI-induced psychosis is a real problem and the frontier labs' mitigations are ineffective, to put it mildly. But using AI as a coding tool doesn't have anything to do with psychosis.

Also from that post:

> Models you can run yourself are toys.

Now I may be old, but whenever we put a lot of faith in unaccountable megacorps it sure seems to have backfired a lot (remember when Amazon removed 1984 from people's libraries?). As long as a model running locally on a regular laptop bought from the supermarket isn't good enough I'm gonna remain sceptical about current AI.

There's also ethical and environmental considerations, but let's see if we can walk before we try to run.

AI psychosis is to have a toxic relationship with a chatbot as if though it was a real person. It has nothing to do with engineering. You're muddying your own point by conflating all LLM use with some kind of delusion. There is a lot of nuance in this space and you're not doing yourself any favors by ignoring it if you're an engineer. There is no bubble pop, other than a straight up apocalypse, that is going to put this genie back in the bottle. Models are trained. Tools are built. There isn't a single industry that cares about artistry more than efficiency. It's here to stay, it's getting better, and if you don't know how to use it, you're going to have trouble finding work.

> Being smart, accomplished, or experienced is no defence.

Perhaps you're confusing "not using AI" with "not being dependent on AI", those are very different things.

The edge isn't from avoidance, it's from using AI as leverage on top of real skill. A strong developer + AI beats a strong developer alone, and massively beats a weak developer + AI. The edge doesn't come from avoiding a tool - it comes from being the kind of person who doesn't need it but uses it anyway. That's leverage. Refusing to use it is just leaving leverage on the table to make a philosophical point.

> After the bubble pops

People like Chris (who is enormously capable engineer) would just move onto different tools, different techniques and paradigms. That is the essence of being a software developer - many of us choose this path specifically because it forces you to learn something new, every single day. That is (I suspect) also another reason why Wellons decided to migrate away from Emacs - he just learned it so deeply, perhaps it's no longer giving him the satisfaction of learning. Which to be honest is hard to believe - Emacs is a boundless playground, there's always something new to learn there.

I just wonder how jobs like that won't replace their employees. Seems too good to last. In a few years OpenAI will just sell $1,000 per month Human-free Agent Coding for businesses.

Saying they have psychosis is a rude exaggeration.

A line? Enjoy the papers telling you otherwise. Not just the cognition it's down, LLM's degrade themselves on every iteration.

Not writing code isn't the same as vibe-coding. You can stay on top of AI, make it rewrite the things that look bad, make it refactor until you're happy with how things look, etc....

Maybe a lot of people who are doing that aren't admitting that they've stopped writing code, but when all you're ever doing is manually fixing a few lines, or moving blocks of code to more sensible places, fixing jumbled parameters in a call and such, you're not really writing code anymore. You're now a chef in a kitchen yelling at assistants and just touching things when dealing with communicating a correction to one of those dimwits is more frustrating than just doing it yourself.

You still have to be a cook to be a chef, though. But the reason I say that AI is dumb is because I tell it to do things, it does them in a dumb way, and I complain at it and tell it to write it in a sensible way. It screws that up, and I tell it to do it again, and not to screw it up. I'm still not coding. If it goes into a loop of nonsense, I touch things with the intention of doing just enough to knock it out of that loop (or rather keep the new context from falling into it.)

"After the bubble pops" we might see that a lot of new chefs can't actually afford assistants. But just as likely, the overbuilt (government-subsidized directly and through policy) capacity might end up getting written off, and at the cost of electricity and maintenance costs could stay reasonably good. Or algos improve. Or training methods improve.

No. AI is a must for software development. It's non-negotiable. The productivity gains are too great. The era of 100% human-written code is over. People will still do it as an idle curiosity, for personal projects only they intend to use. But even those open source projects with significant user bases that forbid the use of AI (like, afaik, NetBSD) will be eclipsed by those that support it in terms of features, capability, and security. And the commercial world? Forget it. You cannot keep pace with your employer's expectations unless you learn to use these tools well. This is not up for debate. It's reality.

Plenty of accomplished devs are getting good results and accomplishing tasks with unheard-of speed using AI, so if you're still not, that's a PEBKAC. You are not using the tools correctly. Figure it out before you complain.