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Original community demo · Video hosted on X

Everyday interactions

Ranking & evaluation

AI Pull Request Risk Review

A PR-review experiment evaluates a diff against typed checks and maps the results to a review outcome, escalating ambiguous cases.

Paolo Rosson@redp314
Published
Original post
X / @redp314
View original demo on X

Opens the author's original post in a new tab.

The implementation ideas below are our interpretation of the community demo. Check the original post for the author’s actual setup.

Where this fits

Help maintainers prioritize a review queue and identify changes that deserve a deeper security or correctness check.

How to build on the idea

Provide the diff and relevant review criteria, collect bounded judgments, then map them to a review queue. Retain human review and repository checks before merge.

An illustrative decision

These examples explain a possible workflow; they are not recorded demo results or API request and response formats.

Example input
A diff removes a permission check from an account-editing endpoint.
Example decision
Flag an authorization concern and request a security review.

Scope and limitations

A diff alone may omit important surrounding behavior. The model’s assessment is a triage signal, not evidence that a change is secure or correct.

Try a decision of your own

Define the context and a small set of choices in the playground, then use the API guide to connect your application.