[pdntspa]

I work on web crawlers and data mining at scale and well over 50% of my code output is written by AI. I use mostly o1 (copying and pasting isolated snippets) or Jetbrains' AI service.

I also have access to a full-service "junior developer" AI that can take in an entire git repo at once, and its code outputs are significantly less useful -- maybe 10%.

I think a lot of peoples' success rate with AI boils down to their choices in language/toolkit (AI does much better the more common it is) and how they prompt it.

Note that you still need an experienced set of eyes supervising, the thought of an LLM committing to a git repo without a human in the loop scares me.