How to clean up AI-generated code with Fallow

AI coding agents often produce code that is not easily maintainable, resulting in duplicated logic, oversized files, and complex functions, which can burden a codebase with technical debt. Fallow, a Rust-native code analysis tool, addresses these issues by identifying unused code, duplication, and complex sections within TypeScript and JavaScript projects. It provides developers with actionable insights to maintain a healthy codebase by highlighting areas likely to become problematic over time. Fallow integrates seamlessly with AI-assisted workflows, allowing AI agents to automatically parse its structured JSON reports to improve code quality before committing changes. It also offers a static intelligence layer for free, with optional runtime intelligence for deeper insights, and can be configured to minimize false positives. By integrating with CI/CD pipelines, Fallow serves as a final quality gate, ensuring code quality is upheld even if AI agents or manual reviews miss certain issues. As AI continues to influence software development, Fallow helps developers maintain clean and maintainable codebases.

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