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> I'm not writing that much of my own code at my FAANG job.

> Most of the time, I just accept its changes.

This speaks more about the problems at FAANG, other companies, etc than AI vs a human developer. And AI isn't the real fix.

Are we just repeating things 100x a day or is it still so chaotic and immature? Or are we implying that AI is at a point where it's writing Google Spanner from scratch and you're able to review and confirm it passes transactional tests?




> This speaks more about the problems at FAANG

Right - "most of my work can be done by Sonnet 3.5" doesn't exactly conjure up an image of a high level or challenging job. It seems the challenge with FAANG companies is getting hired, not the actual work most people do there.


We went from "it's useless because..." - "it outputs gibberish" to "it just copypastes" to "it only works for simple things" to "it can't make Google Spanner from scratch".


> We went from

None of the above.

This isn't about how "smart" AI is.

1. Let's assume it was smart and can update a field spanning 1000s of microservices to deliver this new feature. Is this really something you should celebrate? I'd say no. At this point there should have been better tooling and infrastructure in place.

2. Is there really infinite CRUD to add after >10 years? In the same organization where you need >100s of developers all the time? 1s where you'd ignore code reviews and "just accept its changes"? Whether I write code or my colleagues etc I'd have a meaningful discussion about the proposed changes, the impacts and most likely suggest changes because nothing is perfect.

So again, it's about the environment, the organization or at least this individual case where coding isn't just about adding some lines to a file. And that's with AI or not.




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