serena-code-architecture

To analyze a codebase's architecture, you can use Serena's symbol-level understanding to systematically discover project layout, locate entry points, and map core component dependencies to produce a clear architectural view.

Mapping dependencies and component interactions is done by applying Serena's symbol analysis to trace how modules depend on each other, translating raw code structure into a clear architectural view and knowledge graph.

Yes, you can generate a knowledge graph and Forgetful memory from code structure by capturing component entities and their relationships, creating an entity graph for future architectural reference.

You locate entry points and main modules by systematically discovering the project layout using Serena's directory listing and pattern search functions to inspect the repository structure and identify core components.

Serena works for systematic structure discovery by using symbol-level understanding to inspect repositories, making it suitable for applying to new codebases and documenting existing architecture regardless of project scale.

While knowledge graphs capture structure and dependencies for future reference, the documentation relies on symbol-level code analysis, meaning incomplete or highly dynamic code structures may limit the accuracy of the generated architectural view.