[mohsen1]

I thought about this quite a bit. There are some nuggets in the open source code:

- vX.X.1 releases. when software was considered perfect but author had to write a fast follow up fix. very real bugs with real fixes

- Reverts. I'm sure anyone doing AI code review pays attention to this already. This is a sign of bad changes, but as important.

- PRs that delete a lot of code. A good change is often deleting code and making things simpler

[esafak]

For the first, your signal would be weak, for those events are rare. I don't think deleting and reverting is a signal of quality. Rather, it demonstrates bad changes, as you said. This does not tell the model what good code is, just what it is not.