contextual-review

Automated pull request reviews apply established quality, security, and best-practices guidelines across code diffs to ensure consistent feedback. They require a base guideline reference and per-area checklists to surface issues during the review process.

Structured code review feedback categorizes issues with severity levels and actionable recommendations based on established quality and security guidelines. It applies across code diffs, implementation plans, and architecture reviews to provide consistent, targeted feedback.

Reviewing code diffs with project documentation involves consulting targeted references like API contracts and platform guides based on changed files. This approach surfaces issues by applying base guidelines and area-specific references during the review.

Yes, base guidelines and per-area checklists are required to review a pull request effectively. They provide foundational criteria for reviewer philosophy and quality standards, while optional references to project docs help surface issues during review.

The best way to catch security vulnerabilities in a code diff is applying established security guidelines through automated review. This process requires base guidelines and per-area checklists to consistently surface issues across changed files.

Yes, automated review applies across code diffs, implementation plans, and architecture reviews. By using established quality and best-practices guidelines, it ensures consistent feedback and surfaces issues across different types of project changes.