Live Data Feed

The AI Code Reliability Index

Real-time reliability intelligence across AI coding tools and 350+ open-source repositories
Global AI Code Reliability
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AI Tool Comparison

Ranked by volume of tracked commits
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Reliability Score Comparison

Bayesian-calibrated scores (0-100)
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Language Reliability Heatmap

AI code success rates by programming language
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Methodology

Bayesian Shrinkage

Raw success rates are pulled toward a 50% prior using sample-size-weighted shrinkage. This prevents tools with very few observations from showing extreme scores. Minimum 3 unique repositories required for a confident rating.

Repo-Weighted Scoring

Each repository contributes equally regardless of commit volume, preventing a single prolific repo from dominating a tool's score. This corrects for sampling bias in the underlying dataset.

Real CI/CD Outcomes

Scores are based on actual build pass/fail results, not synthetic benchmarks. Only outcomes with confidence ≥ 70% are included. Data is sourced from open-source repositories with public CI pipelines.