Your code is under new management. Agents that review your code. Warden is an AI-powered code review tool designed to automate code analysis and issue detection, enhancing code quality and security. It targets developers and teams seeking to integrate intelligent code review directly into their workflow, offering benefits like consistent analysis across environments and automated suggestions for fixes.

How It Works

Warden employs a "Skills, not prompts" approach, allowing users to define analysis rules once and apply them universally, whether locally via CLI or automatically on GitHub Pull Requests. It leverages AI agents, requiring API keys for services like OpenAI or Anthropic, to review code and provide inline comments with suggested fixes directly within GitHub. This design aims for reproducible and standardized code quality checks.

Quick Start & Requirements

• Installation: Initialize with npx @sentry/warden init. Add built-in reviews using npx @sentry/warden add <review-type>.
• Prerequisites: Requires Node.js and npm/pnpm. API keys for OpenAI (WARDEN_OPENAI_API_KEY) or Anthropic (WARDEN_ANTHROPIC_API_KEY) are necessary for AI agent functionality.
• Usage: Run pre-reviews with npx @sentry/warden or automatically fix issues with npx @sentry/warden --fix.
• Documentation: Full documentation is available via a link in the README.

Highlighted Details

• GitHub-native integration provides inline PR comments with suggested fixes.
• Supports running code reviews locally via CLI or automatically on every PR via GitHub Actions.
• "Skills" system allows for defining analysis rules once and reusing them across different environments.

Maintenance & Community

No specific details on contributors, sponsorships, or community channels were provided in the README snippet.

Licensing & Compatibility

• License: FSL-1.1-ALv2 (Fair Source License v1.1 with Apache 2.0 addendum).
• Compatibility: The FSL-1.1-ALv2 license has specific terms regarding source availability and modifications, which may require careful review for commercial use or integration into closed-source projects.

Limitations & Caveats

The tool's core functionality relies on external AI models, necessitating the provision and management of API keys for services like OpenAI or Anthropic. The end-to-end evaluation framework (pnpm test:evals) suggests a potentially complex setup or ongoing development for comprehensive testing.