improve-codebase-architecture

To identify shallow modules, analyze architectural friction where interface complexity matches implementation, then target these areas for refactoring to achieve clearer separation of concerns and improved testability.

The best way to refactor redundant data collectors is to extract a unified deep module, applying architectural principles like adapter patterns to consolidate scattered retry and error-handling logic into one high-leverage component.

Seam identification improves codebase testability by isolating tightly coupled dependencies, enabling the application of adapter patterns to separate concerns and structure complex systems into testable, locality-focused deep modules.

You need to deepen shallow modules when your system suffers from leaky abstractions, making code difficult to navigate and test, indicating that current interfaces provide no leverage over their underlying implementation complexity.

Yes, this architectural review works for complex, tightly coupled systems by proposing refactoring opportunities that increase modular depth and leverage, directly targeting the structural friction that impedes maintenance and testing.