codebase-memory-exploring

To explore an unfamiliar codebase, you can map it into a navigable knowledge graph. This approach resolves uncertainty by transforming scattered files into a clear orientation, showing where key functions, classes, and routes live from high-level architecture down to concrete snippets.

Finding HTTP route handlers and service functions is best done using a codebase knowledge graph. By obtaining the graph schema first, you can perform pattern-based searches to locate specific route nodes and retrieve the exact code snippets for your feature implementation.

A knowledge graph helps codebase exploration by structuring scattered repository files into connected nodes like Functions, Classes, and Routes. This mechanism allows you to discover what exists in the codebase and navigate from a high-level architectural summary directly to targeted code snippets.

Yes, you can retrieve specific code snippets after mapping a repository's architecture. The guided workflow requires obtaining the graph schema first, then performing pattern-based graph search to discover relevant items, and finally retrieving the concrete code snippets for those discovered nodes.

Yes, mapping your codebase requires using the codebase-memory-mcp tool to first obtain the graph schema and architecture. This prerequisite tool enables the subsequent pattern-based graph searches and final code snippet retrieval needed for a complete codebase orientation.