Guiding an LLM for Robust Java ByteBuffer Code

This reads like mentoring a junior dev. You do mentoring because the pay off is a junior that develops into a senior; writes better code more efficiently. But what's the pay off with going through this process with AI?

A few days ago I spent an hour trying to get Claude to write unit tests for a relatively simple function, without getting anything functional in return. It produced good (but changing) plans of work, but the code generated didn't match the plan (syntax or semantics).

Are people simply replacing 'time spent coding' with 'time spent mentoring AI'? And is that a useful trade off, given AI forgets everything?

I'd love to see a more honest discussion about the overhead of coding with AI assistance. It's still too high an overhead for me at the present capability.