code-review-graph-explore

Codebase architecture exploration is accelerated by using a knowledge graph to map modules and component relationships. You query graph stats and architecture overviews to discover structural connections across files and functions without manual text searching.

Tracing execution flows is done by inspecting callers and callees within a code-review graph. You query relationship paths and flow data to understand how system parts interact across functions and classes.

Module discovery is performed by listing graph communities and running semantic node searches. This identifies major modules and clarifies their structural roles within the repository's architecture.

Dependency mapping can start from minimal context by querying a code-review graph. You retrieve graph stats and architecture overviews to progressively build component and module relationship maps.

Graph-based code review works for component mapping by treating the repository as a connected knowledge graph. It reveals structural connections and module relationships that traditional file searching misses.

Knowledge graph codebase exploration requires constrained output volumes to manage query results. You must start with minimal context and progressively query specific graph stats, communities, and flows to avoid overwhelming the context window.