AI
This section documents how AI tooling integrates with the Sutomo codebase — semantic code search, graph navigation, and repository indexing that help agents and developers understand the project faster.
Overview
The project uses a codebase memory layer powered by codebase-memory-mcp, which builds a knowledge graph of the repository (functions, classes, routes, and their relationships). It powers graph-aware code search, dependency tracing, architecture overviews, and cross-project intelligence — so both humans and AI agents can navigate the codebase without reading every file.
Pages
| Page | Description |
|---|---|
| Codebase Memory | Index the repository and query it with graph search, tracing, and architecture views |
Each AI page documents how to set up and query the tooling, following the same conventions as the rest of the handbook.