pr-review-navigator

To create an ordered review plan for a GitHub pull request, you can generate AI-assisted navigational guidance that analyzes changed files and dependency relationships to recommend a structured review path. This produces a numbered table and mermaid flowchart.

Dependency-aware diff analysis works by examining imports and references across changed files to suggest an outside-in review order, such as API → service → persistence → models → tests. This helps reviewers understand structural relationships and impact before reading code.

Yes, you can post a mermaid flowchart and review summary directly as a PR comment. The generated output includes a visual file relationship diagram and a numbered review table with SHA256-based GitHub file links that can be published to the pull request.

The best way to navigate large pull request diffs efficiently is to use AI guidance that extracts additions, deletions, and inter-file dependencies to produce an orientation summary. This reduces time and friction by highlighting what changed and recommending a review order.

Yes, this code review guidance works without external dependencies. It operates independently to analyze GitHub pull requests and diffs, requiring only the PR number to generate navigational guidance, mermaid diagrams, and structured markdown tables.