improve-codebase-architecture

To identify architectural friction in a legacy codebase, run a guided exploration pass that surfaces shallow modules and coupling issues. This process highlights areas where deepening modules can improve overall testability and AI-navigability.

Module deepening in software architecture is the process of refactoring shallow, tightly coupled modules into more structured boundaries. It emphasizes proposing boundary designs and testing strategies at the module interface to improve testability.

To make your codebase architecture AI-navigable, surface and document architectural friction to untangle tightly coupled modules. Refactoring these areas through module deepening creates clear boundaries that AI tools can better understand and traverse.

To frame RFCs for codebase refactoring, outline actionable GitHub issues based on identified architectural friction. This approach translates module deepening opportunities and boundary designs into structured, actionable tasks for engineering teams.

You can use this approach for both evolving and legacy codebases. It specifically targets environments where teams want to improve testability, refactor tightly coupled modules, and make architectures AI-navigable during continuous development.

The best way to improve testability in a tightly coupled codebase is to surface shallow modules and propose new boundary designs. Implementing testing strategies directly at these module interfaces reduces friction and isolates components.