π¦ Introduction to Repopack
Repopack is a utility designed to simplify the process of compiling an entire code repository into a single, comprehensive file. This tool is particularly beneficial when the project needs to be integrated with AI models and tools such as Large Language Models (LLMs), Claude, ChatGPT, and Gemini.
π Key Features
- AI-Optimized Output: Formats your codebase in a manner that's straightforward for AI tools to interpret and analyze.
- Token Counting: Offers token counts for each file and the entire repository, helping users manage LLM context limitations.
- User-Friendly: Requires only a single command to wrap an entire repository.
- Customizable Options: Users can easily specify what to include or exclude in the packed output.
- Git-Integration: Automatically acknowledges and applies the rules of your .gitignore file.
- Security-Centric: Utilizes Secretlint for robust security checks to prevent including sensitive data.
π Quick Start
Repopack is ready for use immediately; users can employ it directly from their project's directory without prior installation:
npx repopack
For those who prefer installation for frequent usage, you can:
- Install globally using npm or yarn
- Use Homebrew on macOS
Post installation, repopack can be executed in any project directory to generate an repopack-output.txt file, representing the entire repository in an AI-accessible format.
π Usage Guide
Repopack is versatile, and users can pack their entire repository or just specific sections using simple commands. They can also include or exclude files, or even pack remote repositories by specifying URLs. Custom configurations can be established via a repopack.config.json file.
Once the packed file is obtained, it can be utilized with AI tools for various purposes, such as code reviews, documentation generation, test case development, and code quality assessments.
Formatting Options
Repopack allows the output to be generated in various formats:
- Plain Text: Offers a straightforward and detailed layout of the entire codebase.
- XML: Presents the content in a structured and orderly format suitable for processing by AI.
- Markdown: Provides a readable and organized format which is both human-friendly and easily digestible by machines.
Command Line Options
Comprehensive command-line options facilitate different configurations such as including and excluding files, output formatting, and verbose logging for detailed feedback.
Configuration
Users can create and customize a configuration file to tailor the tool's operations according to their specific needs. Both project-specific and global configurations are supported, providing flexibility depending on user requirements.
Security Checks
With built-in security checks via Secretlint, Repopack alerts users to any potentially sensitive information that might be included in their files, ensuring a safe output.
Updates and Contribution
Repopack encourages community contributions and is open for enhancements. Users can refer to the project's Contributing Guide for more information on how to get involved. Regular updates ensure that Repopack stays current and efficient.
Conclusion
Repopack is a comprehensive tool that simplifies the process of compiling code repositories efficiently, making them ready for AI processing while ensuring security and ease of use. Whether for personal projects or larger collaborative efforts, it offers a robust solution for developers looking to integrate AI into their development workflows.