Comment by viccis

I'm in the second camp.

Part of it's that the whole point of going into this industry is that I love coding and have been doing it since I was 8. Part of it is that I'm a control freak and it makes me uncomfortable to have to trust AI generated code. Sure, I already trust interpreters and compilers, but those are much more deterministic, and they don't generally do anything I have to be wary of. Part of it is that anytime I've used Claude to write stuff (using Opus 4.7 via an API key), I've had to handhold it when doing simple things (telling it repeatedly that a given column doesn't exist in Snowflake's task history table and eventually just giving up and taking it out by hand) and had to remove tons of completely pointless Python code it generates. The big difference is that the people in the first camp don't seem to care enough to check. Someone at my company used Claude to write 20k lines of code this past Friday. No way he read and scrutinized all of that in one day.

The other big thing I've noticed is that a lot of the people using it extensively seem to just be spitting out API endpoint after endpoint. Just doing endless CRUD with some light business logic. Yeah, it's not too hard to automate that with AI without any major issues. Hell, back when Ruby on Rails was hot, it was so fast to write those kinds of things with it that I could spin up things as fast as AI is doing now. Full websites or APIs in an hour or two because its syntactic sugar and scaffolding did what AI does with the FastAPI codebases I see these days. You could go from an ER diagram to a working app in minutes sometimes. I don't care that much if that kind of work is automated.