improve-codebase-architecture

To identify shallow modules for refactoring, analyze architectural friction where complexity leaks across seams. This surfaces areas where modules are too shallow to earn their keep, providing a prioritized list of deepening opportunities.

A deep module in software architecture features a simple interface that hides substantial complexity. Deepening shallow modules consolidates tightly-coupled code, improving testability and making systems more AI-navigable.

Plan a refactor path by shifting test focus toward the deepened module's interface, ensuring seams can be exercised with the right adapters. A grilling workflow refines the deepened module shape and its testing strategy.

Yes, you can use architecture decision records to guide refactoring. An ADR-aware exploration step grounds module interface recommendations using project context and domain vocabulary like seams and adapters.

The best way to make a codebase AI-navigable is deepening shallow modules to hide internal complexity behind clean interfaces. This reduces architectural friction across seams, allowing agents to navigate functionality more effectively.

Improving module testability requires ensuring seams can be exercised with the right adapters. A testing-first refactor path shifts focus toward the deepened module's interface to validate behavior without coupling.