I’ve found that the overuse of AI papers over a lot of problems. Then if things start failing people have no idea where or what to start fixing. I’m very much a destination person, but I’ve been on enough rides which crashed and burned to be cautious about it.

But I use AI also for some of the ones where I deeply care about the code, now. E.g. my terminal is in Ruby, and it worked well enough, but over the last couple of days I had Claude put together a test harness and burn down a number of sharp corners and refactor the code. It's not perfect still, but it's cleaner than it was because I didn't have time to do enough yak shaving myself. I do care about that codebase, because I have other things I want to use it for, and not having to do it all manually gave me enough time to get it to a far better state.

I feel like a lot of the split comes from people who are a whole lot less overcommitted. If you have way too many projects, you pick and choose which projects you want to lovingly care for and which ones you just want to advance the functionality of as fast as possible. Sometimes those are one and the same at different times.