Code2Prompt

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Code2Prompt simplifies code ingestion, turning your codebase into structured prompts for AI and automation.0
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What is Code2Prompt?

If you’ve ever struggled to prepare your code for analysis, documentation, or refactoring using AI models like GPT or Claude, Code2Prompt is here to help. This command-line tool transforms your entire codebase into structured, AI-optimized prompts in seconds. With customizable templates, smart filtering, and Git integration, it’s built to handle even the largest projects while saving you time and effort.

Whether you’re debugging, documenting, or exploring new code, Code2Prompt streamlines workflows by automating tedious tasks and ensuring consistency. It bridges the gap between raw code and meaningful AI interactions, empowering developers to work smarter—not harder.

Key Features

Generate LLM Prompts: Convert entire codebases into well-structured prompts tailored for AI models.
📂 Glob Pattern Filtering: Include or exclude specific files and directories with intuitive glob patterns.
📝 Customizable Templates: Use Handlebars templates to tweak prompt formats for your exact needs.
📊 Token Counting: Optimize prompts for different LLMs by analyzing token usage and staying within context limits.
📦 Git Integration: Incorporate Git diffs and commit messages to enhance prompts for code reviews and more.
🚫 Respects .gitignore: Automatically skips unnecessary files, making prompt generation cleaner and faster.

Use Cases

  1. Automated Documentation Generation
    Writing documentation manually can be tedious. With Code2Prompt, you can automatically generate summaries of public functions, methods, and classes. For example:

    • Run code2prompt . --include "*.py" --exclude "tests/" to focus on Python files while skipping test directories.

    • Use a custom template to format the output as Markdown, ready for publishing.

  2. Bug Detection Through AI Analysis
    Identifying potential vulnerabilities often requires deep dives into the code. Code2Prompt simplifies this process by preparing your code for AI-powered bug detection.

    • Example: Generate prompts that highlight suspicious patterns in JavaScript files (*.js) and feed them into an LLM for detailed feedback.

  3. Refactoring at Scale
    Refactoring large codebases can feel overwhelming. Code2Prompt helps by creating targeted prompts for improving code quality.

    • Scenario: Extract all HTML templates from a project (--include "*.html"), then use an LLM to suggest optimizations or standardize formatting across the board.

Conclusion

Code2Prompt empowers developers to harness the full potential of AI tools without getting bogged down in manual preparation. By automating prompt creation, offering flexible customization, and integrating seamlessly with Git, it enhances productivity and ensures precision. Whether you’re managing small scripts or massive repositories, this tool adapts to your needs, saving time and reducing errors.

Ready to transform how you interact with your code? Dive into the documentation or explore the GitHub repository today!


More information on Code2Prompt

Launched
2025-02
Pricing Model
Free
Starting Price
Global Rank
2911400
Follow
Month Visit
6.2K
Tech used
Fastly,GitHub Pages,jQuery,Gzip,Varnish

Top 5 Countries

51.05%
22.74%
15.48%
7.67%
1.57%
Kyrgyzstan Russia United States Japan Canada

Traffic Sources

1.8%
0.31%
0.02%
15.82%
3.06%
78.99%
social paidReferrals mail referrals search direct
Source: Similarweb (Sep 25, 2025)
Code2Prompt was manually vetted by our editorial team and was first featured on 2025-03-22.
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