serena-code-architecture

Codebase architecture analysis is automated using Serena symbols and Forgetful memories to map project structure, entry points, core components, and dependencies. This systematic approach applies symbol-level understanding to capture structural relationships and data flow.

Mapping core components and dependencies involves locating major services, controllers, and models, then tracing how they interact. This skill uses Serena's symbol-level understanding to extract architectural relationships and trace data flow paths.

Knowledge-graph construction for code architecture works by extracting symbols from Serena and persisting structural findings as memories in Forgetful. This creates a queryable graph capturing component relationships, execution paths, and dependency mappings.

Yes, Serena tooling is required to perform project structure discovery and entry-point analysis. The workflow relies on Serena's symbol-level understanding to identify organizational patterns and execution paths within the codebase.

Architectural analysis findings can be optionally persisted in Forgetful memories for future reference and graph queries. This allows architectural insights to be stored and retrieved later without re-running the full component mapping workflow.

Symbol-level analysis focuses on structural and dependency relationships rather than runtime behavior. It maps static code architecture using Serena symbols, meaning dynamic execution patterns or environmental dependencies may not be fully captured in the knowledge graph.