One agent writes the change. Another agent reviews it. Neither one has read your repository.
An AI reviewer sees a diff. A human reviewer sees a diff plus everything they learned here over the past years.
A missed finding is usually a missing input, not a weak model.
Context is built once
Before it reads a patch, it reads the repository. Then it writes down what it found.
The guides live under your config directory, not inside the clone, so the context survives a fresh checkout and can be shared with a team.
Then it reviews
On the next pull request, the guides are already there.
A green check is not the interesting part. What it wrote on the diff is.
What it wrote
The pull request adds a field. Codegraph finds nothing that reads it.
The server now claims it can refuse old clients. Nothing in the graph reads this field, so nothing is refused.
And it writes the fix
The missing half of the handshake belongs on the client.
The question is not which model reviews best, the question is about context management.
Lower context bloat → lower hallucination → faster reviews → more accurate predictions.
GitHub link is GroophyLifefor/co-maintainer.