Code2Prompt

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Code2Prompt is a context engineering tool that transforms your codebase into structured, AI-optimized prompts, facilitating seamless interaction with Large Language Models (LLMs). By ingesting your repository, it generates meaningful contexts following the Goal + Format + Context framework, enabling efficient code analysis, documentation, and refactoring. Key Features and Functionality: - Versatile Integration: Available as a core library, Command Line Interface (CLI), Software Development Kit (SDK), and Model Context Protocol (MCP) server, catering to diverse development needs. - Glob Pattern Filtering: Utilizes glob patterns to include or exclude specific files and directories, ensuring precise code selection for prompt generation. - Customizable Templates: Employs Handlebars templates, allowing users to tailor prompt generation to their specific requirements. - Tokenization Support: Implements efficient tokenization using `tiktoken-rs`, optimizing prompts for various LLMs. - Git Integration: Incorporates Git diffs and commit messages into prompts, enhancing code review processes. Primary Value and User Solutions: Code2Prompt streamlines the process of converting codebases into AI-ready prompts, significantly reducing the time and effort required for code analysis, documentation, and refactoring. By automating context generation, it minimizes manual tasks, enhances productivity, and ensures that LLMs receive accurate and relevant information, leading to more precise outputs. Its customizable and efficient design makes it an invaluable tool for developers seeking to integrate AI capabilities into their workflows.