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It's likely the people that were not good developers that suddenly got accelerated "to the top" that seem the most for it. All of the good devs I know have been a bit more cautious on the uptake.

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I think it's more subtle than that. There are a lot of measures of what a 'good developer' is, and one of them is 'shipping things'. AI is specifically accelerating that part of the industry - it's much easier to ship code faster now. If you're in a domain that doesn't need quality (easy horizontal scaling, bugs rarely have a critical impact, customers are relatively loyal) then AI is proving that shipping features is more important than code quality.

If you're in a part of the software industry that needs well-optimized and bug-free code then it's less useful. The problem for devs is that those parts of the industry are much smaller.

Funny, I know quite a few extremely talented programmers who cautiously approached the topic, and found that, with proper use, they've found LLMs to be extremely useful. Just a matter of understanding where the boundaries are, and using them responsibly. It's not a magic genie, it augments their existing skill.

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