File Context allows Large Language Models (LLMs) to deeply understand and interact with code files. By providing real-time file system context, including advanced caching and file watching, this tool enables LLMs to read, search, analyze, and extract valuable insights from codebases. Its capabilities extend to code quality metric calculations, dependency extraction, and intelligent search functionalities, making it an essential asset for AI-powered code comprehension and manipulation.
Key Features
01Real-time file watching and cache invalidation
02LRU caching strategy for efficient file access
03Detailed error handling with specific error codes
04Code analysis with cyclomatic complexity and dependency extraction
05Advanced search with regex and context-aware results
