AITree FAQs

Question 1

Can AITree map remote GitHub repositories?

Accepted Answer

Yes, AITree can directly process GitHub repository URLs, including private repos with a token. It leverages the GitHub API, eliminating the need to clone repositories locally for mapping.

Question 2

What output formats does AITree support and how can I use them?

Accepted Answer

AITree supports plain text (default), structured JSON, and Markdown formats. You can print to stdout, save to a file, copy to clipboard, or use `--live` mode to auto-update a saved file as your project changes. It also supports filtering by depth, inclusion/exclusion patterns, and Git-changed files.

Question 3

What is AITree and how does it assist AI development?

Accepted Answer

AITree generates clean, annotated project file maps, including sizes and file types, which you can provide directly to AI models. This streamlines giving AI essential code context, enabling more accurate and efficient AI-assisted development without sharing your entire codebase.

Question 4

Does AITree offer an interactive way to explore project maps?

Accepted Answer

Absolutely. AITree features a local web UI (`--serve` mode) with real-time search, syntax highlighting for over 30 languages, interactive file preview, and responsive design, providing a professional and dynamic way to explore your project structure.

Question 5

How does AITree integrate with AI models programmatically?

Accepted Answer

AITree can operate as a Model Context Protocol (MCP) server, allowing AI assistants (like Claude Desktop) to call it as a tool. This enables AI to programmatically generate file trees, fetch project statistics, list changed files, and read specific file contents directly within the conversation.

AITree

AITree

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