improve-codebase-architecture

Architectural friction is identified by surveying the codebase to surface module boundary issues and coupling. This process highlights shallow modules that require deepening to reduce dependencies and enhance overall testability and maintainability.

Module deepening is a refactoring technique that restructures shallow modules to encapsulate behavior more effectively. It improves testability and AI-navigability by clarifying module boundaries and reducing internal coupling within the codebase architecture.

You generate an architecture RFC by assessing module boundaries and proposing module-deepening refactors. This produces documentation-ready proposals that guide teams in resolving architectural friction and improving codebase testability and AI-navigability.

Yes, dependency analysis and boundary assessment can be applied to codebases of any size. This surfaces refactoring candidates and evaluates architectural friction regardless of scale, ensuring testability improvements are accessible across the entire project.

You should refactor shallow modules for AI-navigable code when architectural friction impedes testability and automated comprehension. Deepening these modules clarifies boundaries, making the codebase structure more accessible to both human developers and AI tooling.