From my perspective, writing out the requirements for an AI to produce the code I want is just as easy as writing it myself. There are some types of boilerplate

From my perspective, writing out the requirements for an AI to produce the code I want is just as easy as writing it myself. There are some types of boilerplate code that I can see being useful to produce with an LLM, but I don't write them often enough to warrant actually setting up the workflow. Even with the debugging example, if I just read what I wrote I'll find the bug because I understand the language. For more complex bugs, I'd have to feed the LLM a large fraction of my codebase and at that point we're exceeding the level of understanding these things can have. I would be pretty happy to see an AI that can do effective code reviews, but until that point I probably won't bother.