pr-code-review

To automate GitHub PR reviews for security issues and logic errors, provide a pull request number to trigger a structured code review pass. The system fetches the PR diff, analyzes changed files, and posts inline GitHub review comments with categorized severity markers directly on the changes.

Inline code review comments annotate specific lines in a GitHub PR diff with categorized severity markers. The automated analysis targets web components, backend scripts, and integration changes, applying context-aware rules to highlight logic errors, security vulnerabilities, and regressions directly within the code.

Yes, you can use static analysis to review backend scripts and web components in the same pull request. The automated analysis fetches the complete PR diff and systematically evaluates each changed file across both web components and backend scripts for edge-case regressions and vulnerabilities.

The best way to minimize false positives in automated pull request code reviews is to incorporate context-aware rules that align with project-specific guidelines and pre-existing checks. This ensures the automated analysis evaluates changes within the correct architectural context.

To start an automated code review pass, provide the specific PR number to the system. It will then load the review context, fetch the pull request diff, analyze each changed file for logic errors and security issues, and post inline comments with severity markers.

Automated PR review can function without configuring project-specific context rules, but applying context-aware rules significantly minimizes false positives. Incorporating project-specific guidelines and pre-existing checks ensures the automated analysis accurately targets actual regressions and vulnerabilities.