Guides 2 min
Your AI reviewer is judging its own output. That's a blind spot
Teams drowning in AI-generated code often let an LLM review the LLM's own patches. Amazon's judge-correlation work shows why that misses real defects.
Topic · 5 articles
Evaldesign
Comparisons 3 min
AI code review for large multi-repo teams: what actually scales
Eval-grounded comparison of AI code review tools for large teams with many repositories: cross-repo context, verification, permission boundary.
Guides 2 min
Who reviews the AI-generated code before the human does?
The volume of AI-generated code is rising faster than review capacity. The fix starts in evaluation design: don't let the model that wrote the code also judge it.
Explainers 2 min
AI code review reads the patch, not the execution
When AI writes 30% of your lines, patch-text review hits a ceiling. The fix is an execution layer, not a bigger reviewer.
Guides 2 min
How to Actually Evaluate an AI Code Review Tool
The failure mode that matters in AI review is not missing a bug, it is fluent output that is structurally wrong and easy to trust. How to benchmark for it.