I found Luna and even 5.4-mini to be quite good at code review provided a few things:

1. Run it in multiple cycles, only on the diff, and only emit a few findings at a time.

2. Give it a memory so each cycle, it knows the previous finding to check if it's been fixed.

3. Give it access to canonical docs that encode your human reviewer heuristics. I exposed these as tool calls so they could be tracked via telemetry.

4. Run multiple reviewers, each with a tight focus. Security, performance, structural, database, etc. Each a separate prompt and persona. Additionally, we had file activation filters so the FE React reviewer didn't activate on BE only changes.

Luna and 5.4-mini with no reasoning were exceptionally fast and almost always found issues with code produced by Opus and Fable.

Default prompts for the curious (these are templates deployed by default, but customizable).

Performance: https://github.com/zeeq-ai/zeeq-app/blob/main/src/backend/Ze...

Structural: https://github.com/zeeq-ai/zeeq-app/blob/main/src/backend/Ze...

(Keep in mind each agent also has tools to access and reference external docs.)

Only on the diff? Why? I found AI reviews garbage until they stopped being only on the diff and were actually able to query real context.