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That's a different kind of loop.

For a normal review loops you can ask the model to return with nothing found if nothing is found and not invent things and it will do a better job of exiting without anything found.

yeah, happened to me: "A is very wrong, you should do B", and on the next fresh review loop "B is very wrong, you should do A"

typically this means there is some ambiguity in the specification, and the model flips between alternative interpretations

I get this sometimes when I ask the agent on GitHub to suggestion improvements to my Julia code. It's kind of fun to watch it struggle to please. I'm reminded of the old "Doctor" mode in Emacs.

I've ran into this in the before times with linters and static analyzers. Nothing new.