Sourcery
Automated AI code reviewer for GitHub and GitLab pull requests
Sourcery is profiled here as a Testing tool for engineering teams. Read about features, pricing, and how it compares to related options in the tools directory.
Description
Short Intro: Sourcery is an AI code review platform built by Brendan Maginnis, Nick Thapen, and Tim Gilboy, incorporated in London in January 2018, making it one of the oldest AI coding tools companies still in active development. The six-person company raised $1.87 million total, with a $1.75 million seed round led by Forward Partners and Runa Capital in 2022, and reached $660 thousand in annual revenue by September 2025. Sourcery reviews pull requests and existing code for bugs, security issues, and quality problems rather than generating new code.
Key Capabilities:
Automated PR review on GitHub and GitLab delivering a PR summary, high-level feedback, and line-by-line inline comments on every opened pull request
Mention-based command interface where @sourcery-ai summary, guide, resolve, and dismiss commands control review behavior directly from PR comments
Security and bug detection covering logic errors, edge cases, anti-patterns, and vulnerability scanning before merge
Team style guide enforcement that adapts to codebase patterns and flags AI-generated code that drifts from established conventions
Review guide generation for human reviewers identifying what to focus on in a given PR
IDE integration for VS Code, JetBrains, PyCharm, Vim, Neovim, Emacs, and Sublime Text with real-time refactoring suggestions
CLI tool and CI/CD pipeline integration for running reviews outside the PR workflow
Sentry integration for connecting code issues to error tracking context
30+ programming language support including Python, JavaScript, and Java
Zero data retention with code processed but not stored after review
Free for public and open-source repositories with paid plans for private repos
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