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Query code structure precisely to understand and analyze large codebases faster.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "codetree" yet — see the docs or source repo.
Use codetree to analyze this repository, identify the core functions handling user login, their definition locations, and the main call chain, organized by file path.
A list of login-related functions, their file and line locations, and an overview of key call relationships.
Use codetree to summarize the classes, methods, import relationships, and main entry points in the payments module without reading every file, and output a structured overview.
A structural summary of the module, including major classes and methods, dependencies, and entry files.
Use codetree to find all references to OrderService, its child structure, and related test files, then assess the likely impact scope of refactoring this service.
Reference distribution, structural relationships, testing clues, and an initial assessment of refactoring impact scope.
Provide structured code context and dependency graphs for efficient codebase understanding.
Analyze codebases and generate AGENTS.md files for AI coding agents.
Index, search, and understand codebases with far fewer tokens.
Query and understand large codebases with a fast knowledge graph for AI agents.
Understand your codebase in terminal and accelerate coding with natural language.
Give AI assistants deep local codebase context, search, and stack insights.