See which AI tools are actually earning their license.
GitClear attributes every line of code to the model that wrote it via Claude, Cursor, Copilot, Codex, Augment or Gemini. Then durable output is scored against rework, defects, review time, and more.
One comprehensive scorecard. Ten minute set up. No sales call required.
◆ AI Quality Research Cited By ◆
Four surfaces. One defensible ROI score.
Every AI stat in GitClear originates from deep analysis of code changes — so when a number doesn't look right, you can always drill into the code that produced it.
Every line tagged with the model that wrote it.
GitClear cross-references your Git history with vendor AI usage APIs and agent telemetry hooks to produce commit-grade provenance — no guessing, no aggregate estimates.
- Claude, Copilot, Cursor, Codex, Augment and Gemini APIs supported out of the box
- Attribution precision maximized via telemetry hooks
- Access via a robust API, for your own analysis or internal reporting
Find the folders where AI is creating more work than it saves.
Not every directory responds to AI the same way. GitClear surfaces the folders where AI-assisted code has elevated defect and duplication rates — so you can coach, gate, or restrict tool access before it compounds.
- Per-directory AI %, defect Δ, duplication Δ
- Risk score normalized against your own baseline
- Exportable as quarterly engineering review artifact
See human vs. LLM code, measured by the same yardstick.
GitClear's Diff Delta metric works the same way whether a line came from Claude or a senior staff engineer. Compare durable change velocity, rework rate, and review time across cohorts — without apples-to-oranges caveats.
- Cohort views by team, repo, or AI tool usage level
- Side-by-side weekly trends — AI power users vs. non-adopters
- Statistical significance flags on every delta
Inspired by Google DORA. Built for the AI era.
Three inputs, one defensible number — so finance, your board, and your own engineers can all read the same scorecard without arguing about what it means.
Attribution
AI usage APIs plus commit heuristics plus agent telemetry hooks — not survey estimates. Every line traceable to the model that wrote it.
Output quality
Diff Delta quantifies durable change vs. churn. Human and LLM code measured with the same metric, across the same time window.
Developer experience
Self-reported hours saved and satisfaction scores. Productivity gains don't count if your best engineers are walking.
Industry Leading
AI Code Quality Research
Works with the tools your team already pays for.
GitClear plugs into your Git host and your AI vendor APIs directly — no proxies, no middleware, no code changes. First scorecard renders in under ten minutes.
See what your AI spend is actually returning.
Connect your repos. Get your scorecard in under ten minutes. No credit card, no sales call — unless you want one.