codebase-memory-exploring

You can map codebase architecture by building a knowledge-graph that reveals structure, dependencies, and interrelationships. This approach helps you rapidly grasp project modules and understand how the system is built.

Discovering functions, classes, and routes in a large repository is done by querying a knowledge-graph of the codebase. This identifies architectural components to map how the system is built and accelerates orientation.

To index a codebase for architecture reviews, you run an index step on the project, generate the graph overview, and query for modules or functions. This provides a navigable graph for new-team ramp-up.

Yes, you can use a knowledge-graph for codebase orientation across languages and repositories. It builds and queries structural relationships to reveal dependencies and architecture, useful for API discovery and onboarding.

Querying codebase structure requires three steps: index the project to build the graph, call the schema endpoint to understand the graph, and request source code snippets to read specific implementations.

Yes, codebase indexing and knowledge-graph generation works without external dependencies. It independently builds the graph structure to reveal functions, routes, and interrelationships for architecture discovery.