Initialize and index a codebase for AI mentoring. This tool:

• Crawls the directory structure (respecting .gitignore)

• Analyzes each file to extract summaries, imports, and exports

• Builds a manifest with file metadata and dependency graph

• Creates a vector index for semantic search

Run this before using generate_tutorial or search_codebase.

Generate a comprehensive tutorial/learning guide for a codebase. Creates a "Zero to Hero" tutorial with:

• Project overview and architecture

• Mermaid.js dependency diagrams

• Structured learning path (chapters)

• Key insights and patterns

Requires init_codebase to be run first.

Perform semantic search across a codebase. Uses vector embeddings to find relevant code sections based on natural language queries.

Returns:

• Matching code snippets with file paths and line numbers

• Relevance scores

• File context and summaries

Requires init_codebase to be run first.