What is Code2Prompt?

This powerful tool is designed to streamline the process of converting code repositories and other text-based content into structured prompts suitable for AI models and automation workflows. It facilitates the ingestion of entire repositories, transforming them into well-organized prompts that can be used with Large Language Models (LLMs). This process helps in generating more accurate and context-aware responses from AI by providing them with relevant and clearly formatted information from the source material.

By leveraging glob patterns for precise file inclusion or exclusion, Code2Prompt ensures that only relevant files are processed, minimizing noise and reducing the likelihood of AI hallucination while enhancing performance. It supports various output formats and offers customization through Handlebars templates, catering to diverse development workflows. The tool is built with performance in mind, utilizing Rust for speed and efficiency, making it capable of handling large codebases effectively.

Features

High-Performance: Written in Rust for speed and efficiency, handling large codebases with minimal resource usage.
Handlebars-Powered Templates: Customizable prompt generation using Handlebars templates for full control over output format.
Smart Filtering: Supports include/exclude patterns with glob matching and smart context for precise code selection (soon).
Multi-Format Support: Exports structured prompts in JSON, Markdown, or XML with different formatting options.
Git Integration: Includes Git diff and log extraction for better context on code changes over time.
Open-Source & Community-Driven: Developed under the MIT license, encouraging contributions and extensions.
CLI and Python SDK: Offers a command-line interface for quick use and a Python SDK for integration into applications.

Use Cases

Generating AI-optimized prompts from personal notes for study and revision.
Creating structured prompts from recipe databases to query for meal suggestions based on available ingredients.
Transforming codebases into prompts for AI-assisted feature development, debugging, or refactoring.
Automating code analysis and understanding by feeding structured code information to AI models.
Summarizing or rewriting code segments by providing context-rich prompts to LLMs.
Integrating with Python applications for advanced automation of code processing tasks.

FAQs

What is Code2Prompt?

Code2Prompt is a tool that simplifies code ingestion by transforming your repository into structured, AI-optimized prompts for AI models and automation.
How can Code2Prompt be used?

Code2Prompt can be used via its Command Line Interface (CLI) for quick generation from the terminal, or as a Python SDK for integration into Python applications. It also supports MCP (Model Context Protocol) for agents.
What are the benefits of using Code2Prompt?

It enables AI and human agents to interact with code efficiently, leverages glob patterns for relevant file selection, reduces AI hallucination, increases performance, and offers customizable output.
What makes Code2Prompt high-performance?

Code2Prompt is written in Rust, which is known for its speed and efficiency, allowing it to handle large codebases with minimal resource usage.
Is Code2Prompt open source?

Yes, Code2Prompt is open-source, built under the MIT license, and encourages community contributions and extensions.