Introduction

TreeSnap is an innovative tool designed to help developers prepare their codebases for artificial intelligence applications quickly and efficiently. By flattening your repository into a GPT-ready file, TreeSnap streamlines the process of making your code AI-compatible. With its user-friendly interface, you can easily visualize and manage your code, ensuring that you are ready to leverage AI technologies instantly.

Interest-building

One of the standout features of TreeSnap is its ability to provide clear token counts per file and folder. This functionality is crucial for developers who want to optimize their code for large language models (LLMs). The interactive treemap allows you to identify the heaviest parts of your codebase, enabling you to make informed decisions about what to include in your AI prompts. With a native Rust core powered by Tauri, TreeSnap processes even large repositories—up to 50,000 files—in approximately one second. This speed ensures that you can iterate quickly without sacrificing performance.

Desire-creating

TreeSnap respects your .gitignore settings out-of-the-box, ensuring that irrelevant code is excluded from your analysis. This feature allows you to focus on what truly matters in your project. The tool also enables you to export not just the concatenated code but also a clean ASCII file tree structure, giving your LLM the full picture with minimal effort. By mastering your tokens and optimizing your selections, you can reduce costs and ensure that your AI analysis is both focused and effective. Plus, with a free online version available, you can start using TreeSnap without any signup, making it accessible for non-commercial use.

Conclusion

In summary, TreeSnap is a powerful tool that simplifies the process of preparing your codebase for AI applications. With its speed, efficiency, and user-friendly features, you can easily optimize your code for AI analysis. Ready to get started? Explore TreeSnap today!