$ loading_
Index codebases with AST awareness and retrieve code context via semantic search.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "codebase-index" yet — see the docs or source repo.
Search this codebase for the implementation related to the 'login failure retry mechanism'. Prioritize core files and key functions, and explain their call relationships.
Returns relevant files, function snippets, and a brief relationship summary to quickly locate the feature implementation.
I just inherited this project. Retrieve code related to the 'authorization validation flow' and summarize the entry files, middleware, data models, and main execution path.
Provides a module-level context summary and key code locations for faster system understanding.
Search for code related to 'order status updates', identify all files that read or modify that status, and mark potentially affected upstream and downstream modules.
Outputs a list of relevant files, touchpoints, and impact scope notes to help assess fix risk.
Build semantic indexes for codebases to find relevant code with natural language queries.
Search and navigate multiple code repositories with natural language understanding.
Search codebases semantically to find relevant snippets and implementation context fast.
Index repositories into a persistent graph for fast code search and understanding.
Index local repositories for semantic search and structured code understanding.
Index codebases so AI can fetch precise snippets instead of entire files.