Sourcery
AI code review and refactoring tool that automatically improves Python and JavaScript code quality - reviews PRs with actionable suggestions in the IDE and CI.
Sourcery is an AI code quality tool that automatically reviews code for refactoring opportunities, code smell patterns, and complexity issues, providing specific before/after suggestions rather than generic feedback. It integrates directly into VS Code, PyCharm, and GitHub/GitLab PR workflows, running analysis on every pull request or in real time as code is written. Sourcery's rules are grounded in established refactoring patterns (extract function, simplify condition, remove dead code) rather than general-purpose LLM output, which produces more consistent and actionable feedback. The platform supports Python and JavaScript/TypeScript and is used by engineering teams who want automated code quality enforcement without the overhead of manual code review cycles.
Key Features
- Automated refactoring suggestions - specific before/after code rewrites, not just "this could be better"
- PR review integration - automatically comments refactoring suggestions on every GitHub/GitLab pull request
- Real-time IDE feedback in VS Code and PyCharm while code is written
- Code smell detection - flags duplicate code, overly complex functions, and dead code with fix suggestions
- Complexity metrics - cyclomatic complexity and cognitive complexity tracked per function and module
- Python and JavaScript/TypeScript support with language-specific rule sets
- CI/CD pipeline integration - block PRs that introduce code quality regressions
Use Cases
- Python teams enforcing consistent code style and complexity standards without dedicating senior engineer time to reviews
- Engineering managers who want quantitative code quality tracking across a growing codebase
- Open-source maintainers automating quality checks on external contributor pull requests
- Teams adopting refactoring practices systematically - Sourcery teaches patterns through concrete suggestions
Pros
- Refactoring suggestions come with concrete before/after diffs - reviewers accept or reject specific changes, not general advice
- Free tier works for open-source repos and solo developers with no time limit or PR cap
- Pattern-based analysis produces fewer false positives than LLM-generated code review for style and complexity issues
Cons
- Python and JavaScript/TypeScript only - not suitable for teams using Go, Java, Rust, or other languages
- Suggestions are refactoring-focused and miss security vulnerabilities, dependency issues, and architectural problems
- Team plan at $24/seat/month is more expensive than broader-coverage tools like CodeRabbit for multi-language repos
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