What I learned counting AI co-authored commits across 26,000 of my own

说明与用途

作者通过使用 GitHub 未公开的 co-authored-by: 搜索限定符（基于邮箱）以及修正 SVG 渲染，发现其 26,251 次提交中有 39% 涉及 AI 合作者。

问题

Determining accurate counts of AI‑co‑authored commits in a large codebase was difficult due to undocumented GitHub search qualifiers, ambiguous co‑author trailers, and image rendering limitations.

结果

Accurate AI‑co‑authored commit counts (39% overall, 2% public) were achieved by using email‑based search qualifiers, validating against total commits, and correcting SVG rendering for GitHub’s image proxy.

工作流

• 1. Run git log --format='%b' | grep -c 'Co-Authored-By: Claude' to get local counts.
• 2. Use GitHub CLI: gh api '/search/commits?q=author:USER+co-authored-by:[email protected]&per_page=1' --jq '.total_count' to query GitHub API.
• 3. Verify qualifier works by comparing counts for valid and invented qualifiers.
• 4. Check that total_count is less than total commits to ensure qualifier filtering.
• 5. Use email addresses from actual commit trailers (e.g., [email protected]) instead of display names to avoid false positives.
• 6. Build SVG card rendering counts, ensuring the SVG declares final geometry before animation to support GitHub’s camo proxy.
• 7. Test rendering in environments that ignore SMIL to confirm bars appear correctly.
• 8. Deploy the tool locally in CI so the user’s PAT can access private repos, avoiding the 2% public‑only limitation.

证据

10,261 of 26,251 commits — 39%.

来源

co-authored-by:[email protected] 10,261

来源

co-authored-by:cursor 10033042

来源