I love the accept reject flow because I still constantly have to stop AI models from writing awful architecture or reimplementing code we already wrote elsewhere

Yeah, I have found the same. A lot of times it does get things right, but if it deviates man it can just drift hard.

For example, sometimes Claude just obsessively reads files and goes on massive tangents. Then when I stop it and ask, "why are you doing that?", it kindly apologizes and admits it shouldn't have gone on a tangent.

The token burn if I don't stop it would be quite high.

Granted, this might be because I'm not giving it optimal prompt/negative-prompt instructions though.