Run real code-quality engines for linting, testing, and code review.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "rush" yet — see the docs or source repo.
Use rush to run Ruff and pytest on the current Python project, list all lint issues and test failures, and provide prioritized fix suggestions.
A report of style issues, test failures, and actionable fix recommendations.
Use rush to inspect this JS/TS repository, run ESLint, Prettier, and Vitest, and summarize files with rule violations, formatting issues, and failed tests.
A frontend code quality report covering lint, formatting, and test results.
Use rush to review this change set and, based on quality checks and test results, identify risks, blocking issues, and recommended changes.
A structured code review summary to help decide whether the change should be merged.
Developers can use it before committing Python or JS/TS code to run real linting and testing tools and catch quality issues early. This helps prevent basic problems from reaching the main branch.
When an AI agent needs to verify whether code changes are reliable, it can use the tool's CLI or stdio MCP server to invoke real quality engines. This makes review outcomes grounded in actual execution rather than static guesses alone.
Projects that include both Python and JS/TS can use it to trigger Ruff, pytest, ESLint, Prettier, Vitest, and similar tools in one place. Teams can apply checking, testing, and review workflows more consistently.
It is an agentic code-quality CLI and stdio MCP server that runs real Python and JS/TS quality engines for linting, testing, and code review.
The provided description mentions examples such as Ruff, pytest, ESLint, Prettier, and Vitest. For more details, see the source repository.
Based on the description, it is mainly aimed at quality checks, testing, and review for Python and JS/TS projects. For support for more languages or runtime prerequisites, see the source repository.
Get intelligent, context-aware code reviews and improvement suggestions with MCP.
Automate code reviews with syntax checks, explanations, and improvement suggestions.
Review code, suggest refactors, and generate tests with AI assistance.
Review code for security, quality, and performance issues with actionable suggestions.
Automatically validate and fix code against enterprise governance rules.
Analyze local code quality, review diffs, and score whole projects.