Basin
Ensures code quality and reliability in AI code editors by testing for bugs, hallucinations, and unintended changes after code generation.
About
Basin is a Model Context Protocol (MCP) tool designed to integrate with AI code editors like Cursor and Windsurf, providing automated code quality and reliability testing. By invoking the 'check-generated-code' tool after each code generation step, Basin helps developers identify bugs, hallucinations, and unintended changes. The tool accepts parameters like user prompts, server URLs, endpoint information, and thread IDs to facilitate comprehensive testing and conversation tracking. It encourages small, isolated code changes and explicit declaration of authentication requirements for optimal performance and accuracy.
Key Features
- Automated code quality testing for AI code editors
- Detects bugs, hallucinations, and unintended changes
- Integrates via Model Context Protocol (MCP)
- Supports parameter-based testing with prompt, server URL, and endpoint details
- Provides guidelines for best practices to improve test reliability
- 0 GitHub stars
Use Cases
- Validating the correctness of new or modified API endpoints
- Identifying regressions and unintended side effects of code changes
- Ensuring code quality after AI-assisted code generation