“Code review”

Review code against project rules and standards.

Reviews code changes using CodeRabbit AI.

Staff-engineer-level code review delivering 10 prioritized actionable findings across architecture, security, performance, and maintainability

Use when reviewing code changes for bugs, regressions, security risks, performance issues, maintainability risks, and missing tests.

Review code for correctness, security, style, and maintainability.

Performs an architectural and quality code review on a specified file or set of files.

Deprecated alias for the-reviewer.

Review code changes for bugs, security issues, and code quality using OpenAI Codex CLI as an external adversarial reviewer.

Perform a thorough code review

Review code changes against project rules and conventions

Review the changes since a fixed point (commit, branch, tag, or merge-base) along two axes: Standards (does the code follow this repo's documented coding…

AI-powered code review using CodeRabbit CLI.

Principal Engineer code review engine for production pull requests, evaluating correctness, security, architecture, performance, concurrency, observability…

Review changes since a fixed point (commit, branch, tag, or merge-base) along a risk-calibrated gradient (Trunk vs Leaf code) across Standards, Spec, and…

Review a Tokyo Hiker pull request or branch diff for correctness, content conventions, and repository integration.

Review a student's code and give friendly, specific feedback.

Review code for correctness, security, performance, and maintainability.

Review changes for real correctness, maintainability, regressions, missing tests, and integration defects with low-noise findings.

Review local git changes before opening a PR or merging.

Comprehensive code review with best practices analysis

AI code review for PR or local changes

Performs thorough code review.

Review code changes for bugs, regressions, security issues, and missing tests.

Run a comprehensive code review