Topic · 5 articles
Two 2026 security benchmarks score AI reviewers at the verdict level and get a near tie. The split shows up one layer down: whether the finding names the mechanism and cites evidence outside the diff.
GitHub's ReviewBench publishes a leaderboard and a provenance table. The provenance table is the more useful artifact: 98.2% of its ground-truth findings came from LLM reviewers, and recall is the only column that moves.
Two public AI code review benchmarks report recall 2.6x apart because one grades comments with a model and the other runs tests built from human review comments. Here is how to tell which number you are reading.
Cloudflare's 131,246 review runs give AI code review a real cost curve: $0.98 median, $3.25 per merge request, and 85% of spend in one tier.
AI code review statistics for 2026: adoption, trust, review turnaround, AI code volume, and bug-catch benchmarks — every stat linked to a primary source.