Code2Prompt
Generates contextual prompts from codebases to enhance AI assistant understanding and interaction with code repositories.
About
Code2Prompt leverages the code2prompt-rs library to analyze codebases and produce structured summaries, bridging the gap between your code and language models by extracting relevant context optimized for AI consumption. It functions as an MCP (Model Context Protocol) server, facilitating communication between your codebase and AI tools that support the protocol.
Key Features
- Structured code summaries
- Leverages code2prompt-rs for performance
- Codebase analysis for prompt generation
- MCP server implementation
- Optimized for AI consumption
- 1 GitHub stars
Use Cases
- Improving AI code completion suggestions
- Enhancing AI-powered code review processes
- Facilitating AI-driven code documentation
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