AI-powered automated code reviews with instant feedback on GitHub pull requests.
Sourcery provides automated code reviews for GitHub repositories through AI-powered analysis. The system reviews any pull request on any GitHub repository to provide instant feedback on proposed changes. It focuses on automated code reviews designed for security and speed. Solo developers benefit from immediate code quality feedback without waiting for human reviewers.
Sourcery addresses the challenge of traditional code reviews not keeping up with AI-accelerated development. It serves as a specialized Claude code alternative for developers prioritizing automated quality assurance over code generation. The platform enables shorter review cycles, fewer blockers, and faster merges. Best suited for GitHub-centric workflows requiring consistent code quality enforcement.
Q: Is Sourcery completely free for open source projects? A: Yes, Sourcery is free to use for open source projects and offers unlimited usage for public repositories.
Q: What IDEs does Sourcery support? A: Sourcery supports VS Code and JetBrains IDEs, with a dedicated VS Code extension available.
Q: How much does Sourcery cost for private repositories? A: Sourcery Pro costs $12/developer/month or $120/developer/year for private repositories, with a 14-day free trial available.
Q: What type of feedback does Sourcery provide? A: Every review includes a summary of changes, high-level feedback, and line-by-line suggestions where relevant.
Q: Can I customize Sourcery's review process? A: Yes, you can add specific repository-level instructions for code reviews to customize the review process for specific repositories.
Q: Does Sourcery work with platforms other than GitHub? A: Based on available information, Sourcery primarily focuses on GitHub integration as a GitHub bot, with limited information about other platform support.
Open-source AI coding agent that gives you direct access to frontier models with complete transparency.
AI-powered code review platform providing contextual feedback on pull requests.