This is kind of where I'm at. I don't think everything is for certain though. I think it's 50/50 on whether Anthropic/whoever figures out how to turn them into more than a boilerplate generator. The imprecision of LLMs is real, and a serious problem. And I think a lot of the engineering improvements (little s-curve gains or whatever) have caused more and more of these. Every step or improvement has some randomness/lo…
> I do think there's a bit of an experience divide here, where people more experienced have been down the path of a codebase degrading until it's just too much to salvage – so I think that's part of why you see so much pushback. When I look back over my career to date there are so many examples of nightmare degraded codebases that I would love to have hit with a bunch of coding agents. I remember the pain of upgradin…
Overall I like using it still but I can also see my mental model of the codebase has significantly degraded which means I am no longer as effective in stopping it from doing silly things. That in itself is a serious problem I think.