Context Sherpa
Guides AI coding agents by providing strong feedback loops for linting, validating, and dynamically managing code rules based on natural language feedback.
关于
Context Sherpa is an AI-powered code analysis server designed to enhance the effectiveness of AI coding agents. It enables developers to establish robust feedback loops, allowing agents to automatically validate generated code against project-specific patterns. A key capability is translating natural language instructions into permanent, machine-readable linting rules using `ast-grep`, which can also be easily removed when no longer needed. Delivered as a portable, self-contained executable, Context Sherpa integrates seamlessly into developer workflows without complex setup, dependencies, or security concerns, ensuring cross-platform compatibility and efficient code quality enforcement.
主要功能
- Dynamic Rule Management: Create, update, and remove linting rules on the fly based on natural language feedback.
- Cross-Platform Compatibility: Works identically across Linux, macOS, and Windows with minimal setup.
- Easy Integration: Designed to work seamlessly with AI coding agents through the MCP server interface.
- Community Rules: Access and import pre-built linting rules from a dedicated community repository.
- Zero Security Issues: Built locally with `go install` or leverages system-trusted package managers for secure operation.
- 1 GitHub stars
使用案例
- Automatically validate code generated by AI agents against specific project coding patterns and standards.
- Convert natural language instructions (e.g., 'all async functions must have a try/catch') into persistent, machine-readable linting rules.
- Scan code snippets, files, or entire directories for rule violations before committing changes or during development.
