Describe the commit
Enter files and lines changed, the categories it touches, its test coverage, and how much of it was AI-generated versus human-driven.
AI-ASSISTED COMMIT RISK CHECK
AICommit Review
Enter the characteristics of one AI-assisted commit and get a calculated merge-risk score with the specific categories that need manual review.
- Uses your inputs in a transparent calculation
- Instant result with practical next steps
- No signup required
Planning guidance only. Validate important decisions with customer evidence and your delivery team.
YOUR INPUTS
Build your result
Complete every field. The result updates only when you choose Calculate.
How it works
We calculate a weighted merge-risk score
Size, sensitive-category overlap, thin test coverage, and heavy AI assistance each add weighted points to a transparent 0-100 risk score.
Get specific review guidance
Next steps call out exactly which categories or gaps should get a human read-through before this one commit merges.
Continue learning: AI-generated code security review: what to check first · Who owns AI-generated code
Frequently asked questions
Does this scan my actual commit or diff?
No. This tool computes a risk score entirely from the commit characteristics you enter — files/lines changed, categories touched, test coverage, and AI-assistance level. It does not parse real commits, diffs, screenshots, or pull requests, and does not connect to any version control system.
How is this different from Merge Guard AI?
AICommit Review scores one commit that has already been made, flagging categories that need manual review before it merges. Merge Guard AI evaluates a whole pull request — size, critical-path overlap, existing reviewer count — to recommend a merge-gate policy (auto-mergeable, needs one reviewer, needs senior review). Use AICommit Review per-commit and Merge Guard AI at the PR level.
What counts as a "sensitive category"?
Categories like auth, payments, billing, data-model/migrations, permissions, security, PII, and secrets are flagged because mistakes there are typically the most expensive to leave unreviewed.
Why does AI-assistance level affect the score?
Heavier AI generation with light human review correlates with a higher chance the diff doesn't fully match the intended behaviour, even when it compiles and looks plausible — so it adds risk points on top of size and category factors.
Is a low score a guarantee the commit is safe?
No — this is a structured self-assessment based on what you enter, not a static analysis or security scan. Use it to prioritise review attention, not as a substitute for actually reading the diff.
How We Compare
| Feature | MVPHub | GitHub Copilot | Cursor |
|---|---|---|---|
| Weighted merge-risk score from commit characteristics | Included | Not included | Not included |
| Sensitive-category flagging | Included | Not included | Not included |
| Automated diff scanning | Not included | Limited | Limited |
| AI code generation | Not included | Included | Included |
GitHub Copilot and Cursor can suggest or generate the commit itself and offer inline review hints, but neither computes a standalone merge-risk score from commit characteristics. AICommit Review gives a fast, structured risk read before you decide how carefully to review.
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