review

Automated PR diff reviews analyze your working branch against the base branch to identify structural and safety risks like SQL safety issues, LLM trust boundary violations, and race conditions before merging, ensuring safer code shipping.

An LLM trust boundary violation occurs when untrusted inputs cross into LLM processing without proper safety checks. PR diff reviews detect these violations by analyzing structural risks and flagging unsafe trust boundaries in your code changes.

Yes, you can check SQL safety and race conditions by running a pre-landing review on your feature branch. The review analyzes the diff context to surface these structural risks and generates actionable findings to improve PR quality.

Generating actionable next steps after analyzing a PR diff involves loading the diff context and project metadata to surface findings in a plan-friendly report, which drives decision-making and proactively suggests routing to improve release confidence.

Automated PR review operates without requiring additional dependencies or components, directly loading your project metadata and branch diff context to identify risks and suggest routing for safer merging.

Automated diff analysis for pre-landing reviews focuses on structural and safety issues that tests may miss, such as conditional side effects and trust boundary violations, but does not replace functional testing or runtime validation of your merged code.