
Recurse ML
Find bugs in AI Generated Code
Details
- Use Cases
- Code ReviewTesting & QACI/CD
- Target Audience
- DevelopersDevOps EngineersQA Engineers
- Platforms
- CLI
About Recurse ML
We find bugs in the code that you (and AI) writes. Key Features - External Library Misuse: recurse understands every external library and API, tells you when you're using them incorrectly or insecurely, and suggests a fix. - Breaking Changes Analyser: recurse has perfect understanding of your codebase. When you make changes, it can tell you did you break something elsewhere in the codebase. - Rules: recurse allows you to define strict rules which are imposed over every change you make to your codebase. Don't like repetition, or hate duplication of code? Create a rule, recurse enforces it. Benefits - Bug-free software: recurse ensures no bugs ever hit your codebase - At time of PR, in your terminal (CLI), or as part of your CI/CD: recurse offers both a bug review agent in github, and a command line interface tool. This means you can use it anywhere in your development process - Integration with Cursor and Claude Code: rml, the recurse CLI tool can be used alongside Cursor and Claude Code to fix the code that AI generates, meaning no more bugs or silly mistakes.
Product Insights
Recurse ML is an automated bug-finding tool designed to validate AI-generated and human-written code through external library analysis, breakage detection, and custom rule enforcement. Available via CLI and GitHub, it integrates directly into existing development workflows and CI/CD pipelines.
- Identifies misuse of external libraries and APIs with suggested security and logic fixes.
- Provides a CLI tool (rml) that integrates with AI coding assistants like Cursor and Claude Code.
- Enforces codebase-wide custom rules to prevent code duplication and repetition.
- Detects breaking changes across the entire codebase during the development and PR process.
Ideal for: Developers, DevOps Engineers, and QA Engineers who need to verify the integrity of code produced by AI and maintain strict adherence to custom codebase rules.
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