Why is it idiotic? Your tests will let you know if it is correct. Suppose I have 100 interface functions to implement, I let the AI write the boilerplate and implementations and get a 90% pass rate after a revision loops where errors are fed back into the LLM to fix. Then I spend a small amount of time sorting out the last 10%. This is a viable workflow today.
Sure but the model is already trained. I’m not talking about using any sort of specialized model.