> After you review, instead of rewriting 70% of the code, have you tried to follow up with a message with a list of things to fix?

I think this is the wrong approach, already by having "wrong code" in the context, makes every response after this worse.

Instead, try restarting, but this time specify exactly how you expected that 70% of the code to actually have worked, from the get go. Often, LLMs seem to make choices because they have to, and if you think they made the wrong choice, you can often find that you didn't actually specify something well enough, hence the LLM had to do something, since apparently the single most important thing for them is that they finish something, no matter how right or wrong.

After a while, you'll get better at knowing what you have to be precise, specific and "extra verbose" about, compared to other things. Something that also seems to depend on the model, like with how Gemini you can have 5 variations of "Don't add any comments" yet it does anyways, but say that once to GPT/Claude-family of models and it seems they get it at once.