improve-codebase-architecture

To refactor shallow modules, you identify architectural patterns that hide complexity in the wrong places and propose refactors that increase interface leverage. This process concentrates knowledge at stable interfaces, making tightly coupled modules easier to maintain and AI-navigable.

Improving testability in tightly coupled code is best achieved by introducing seams and adapters. This allows behavior to vary across seams while preserving a deep module behind a clean interface, enabling you to validate behavior through observable outcomes rather than brittle internal structures.

Seams and adapters help module design refactoring by allowing behavior to vary across boundaries without altering the core deep module. Using adapters enables replacing dependencies with in-memory versions for tests, ensuring your test surface remains the interface rather than implementation details.

You need architecture deepening when understanding a single concept requires bouncing across many small, tightly coupled modules. It is necessary when shallow module patterns make refactors harder, tests brittle, and AI navigation through the codebase less reliable due to friction.

Yes, you can use Architecture Decision Records to guide codebase refactoring. The workflow reads your domain vocabulary and ADRs to explore the codebase for friction, ensuring proposed deepening candidates align with established design decisions before creating new interfaces.

Bouncing across many small modules happens due to shallow module patterns that hide complexity in the wrong places. This architectural friction scatters knowledge, reduces interface leverage, and makes codebase navigation unreliable, requiring consolidation into deeper, more cohesive modules.