improve-codebase-architecture

Shallow modules in a codebase are identified by analyzing module boundaries, interfaces, and seams to detect poor abstraction, excessive coupling, and hard-to-test areas. This architectural audit yields ranked refactor candidates with expected locality and leverage gains.

Finding deep refactor opportunities in a monolith requires auditing module boundaries and interfaces for excessive coupling. This process outputs ranked candidates to transform shallow modules into well-abstracted interfaces, improving overall codebase architecture.

Reducing coupling and improving modularity during an architectural review involves analyzing module boundaries and seams to identify shallow modules. This generates ranked refactor candidates with justification to deepen codebase architecture and improve abstraction.

This approach suits mixed modules in evolving systems by analyzing module boundaries and seams to detect shallow structures and excessive coupling. It outputs ranked refactor candidates with expected locality and leverage gains to guide architecture improvements.

Prioritize refactoring shallow modules when an architectural audit reveals excessive coupling, poor testability, and weak abstraction at module boundaries. Ranked candidates with locality and leverage justification indicate where deepening codebase architecture yields the highest structural return.