AI Coding Tool Reliability
Independent rankings based on real CI/CD outcomes. Not benchmarks — production data from public GitHub repositories.
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Methodology
Data Collection
We crawl public GitHub commits attributed to AI coding tools via commit messages (e.g., "Co-authored-by", "Generated by"). Our crawler runs autonomously every 5 minutes, collecting commits across 9+ AI tools and 50+ programming languages.
Outcome Validation
For each commit, we check CI/CD status (GitHub Actions, CircleCI, etc.) and detect reverts within 7 days. An outcome is "success" if CI passes and the commit isn't reverted. Only outcomes with confidence ≥ 0.7 are included.
Reliability Score
The reliability score equals the validated success rate × 100. A score of 71 means 71% of that tool's commits with validated outcomes passed CI and were not reverted. Higher is better.
Limitations
Rankings reflect public repositories only. Tools with fewer validated outcomes have wider confidence intervals. Commit message attribution may miss some AI-generated code or misattribute tools. We show sample sizes so you can judge significance.