I concur that asking devs how they use AI is a great idea. Recently, I shared a code base with a junior dev and she was surprised with the speed and sophistica

I concur that asking devs how they use AI is a great idea. Recently, I shared a code base with a junior dev and she was surprised with the speed and sophistication of the code. The LLM did 80+% of the "coding". What was telling was as she was grokking the code (for helping the ~20%), she was surprised at the quality of the code - her use of the LLM did not yield code of similar quality. I find that the more domain awareness one brings to the table, the better the output is. Basically the clearer one's vision of the end-state, the better the output. One other positive side-effect of using "LLMs as a junior-dev" for me has been that my ambitions are greater. I want it all - better code, more sophisticated capabilities even for relatively not-important projects, documentation, tests, debug-ability. And once the basic structure is in place, many a time it is trivial to get the rest. It's never 100%, but even with 80+%, I am faster than ever before, deliver better quality code, and can switch domains multiple times a week and never feel drained. Sharing best AI hacks within a team will have the same effect as code-reviews do in ensuring consistency. Perhaps an "LLM chat review", especially when something particularly novel was accomplished!