Yeah, there was a good article on here the other day where the author suggested going slower with AI and using it to help produce higher quality output. I think the idea is to be quite "hands on", coding much in the old way, but to use AI to help with, for example, test coverage, error mode detection and handling, refinement of the solution/feature, etc.

At least that's how I read it. :-) I'm learning that there's a place for the LLM but it's the sandpaper, not the chisel.