This hasn't been my experience (using the latest claude and gemini models). They'll produce poor code even when given a well defined easily achievable task with

This hasn't been my experience (using the latest claude and gemini models). They'll produce poor code even when given a well defined easily achievable task with specific instructions. The code will usually more or less work with today's models, but it will do things like call a function to recreate a value that is already stored in a local variable... (and worse issues prop us the more design-work you leave to the LLM, even dead simple design work with really only one good answer) I've definitely also found that the poor code can sometimes be a nice starting place. One thing I think it does for me is make me fix it up until it's actually good, instead of write the first thing that comes to mind and declare it good enough (after all my poorly written first draft is of course perfect). In contrast to the usual view of AI assisted coding, I think this style of programming for tedious tasks makes me "less productive" (I take longer) but produces better code.