It doesn't matter what you think about AI. It's very clear that this technology is here to stay and will only improve. From this point on AI will become deeply integrated into human culture and technology, after all we've been fetishizing it for almost 100 years now. Your only logical option as a developer is to learn how to use it and abuse it. Choosing not to do so is career suicide, possibly even societal suicide depending on how quickly adoption happens.

You're probably right, in the near future people that can't use it will be fired. To that point they should be fired. Why the fuck would I allow my accounts to do their financal work on paper when Excel exists?

Welcome to the future.

To answer your question directly: The debate has been going on in the broader public since ChatGPT 3 dropped

To answer how you’re feeling: that’s valid, because a lot of big pockets seem to not care at all about the ethical considerations.

I disagree with the other posts here that you're overreacting. I think that AI will replace most jobs (maybe as high as 85% at some point). Consider becoming a plumber or an electrician. Until the robots will become commonplace in 20 years from now, you will have a job that AI won't be able to touch much. And people won't run out of asses or gaming. So they'll be stable professions for quite a while. You can still code in your free time, as a hobby. And don't cry for the lost revenue of being a programmer, because that will happen to everyone who will be affected by AI. You'll just have another job while the others won't. That's the upside.

I understand that this comment is not what people want to hear with their wishful thinking, so they'll downvote it. But I gotta say it how I see it. AI is the biggest revolution since the industrial revolution.

🙄 no I'm sure you're the only one

I think your job in your current form is likely in danger.

SOTA Foundation Models like GPT4 and Gemini Ultra can write code, execute, and debug with special chain of thought prompting techniques, and large acale process verification on synthetic data and RL search for correct outputs will make this 10x better. The silver lining to this is that I expect this to require an absolute shit ton of compute to constantly generate LLM output hundreds of times for each internal prompt over multiple prompts, requiring immense compute and possibly taking longer than an ordinary software engineer to run. I suspect early full stack developer LLMs will mainly be used to do a few very tedious coding tasks and SWEs will be cheaper for a fair length of time.

I expect it will be 2-3 years before this happens, so for that short period I expect workers to be "super-productive" by using LLMs in the coding process, but I expect the crossover point when the LLM becomes better is quite soon, perhaps in the next 5 years as compute requirements go down.