improve-codebase-architecture

Identify shallow modules by analyzing project context and seams to surface deepening opportunities that improve testability and AI-navigability. This review process reports architectural friction findings without writing or committing code changes.

A deep module in software architecture hides significant implementation complexity behind a minimal interface, improving testability and AI-navigability. Deepening refactors turn shallow modules into deep ones to enhance locality across module seams.

Improve codebase testability during an architecture review by running an interactive grilling loop to compare deepening designs across module seams. This workflow surfaces actionable trade-offs and candidate designs without modifying project code.

Yes, you can use this approach to refactor code without committing changes because it operates entirely in a discovery phase. It reports deepening opportunities and architectural friction findings to guide next steps without writing code.

The best way to compare architectural designs for codebase refactoring is using an interactive grilling workflow that evaluates deepening opportunities. This surfaces decisions and trade-offs for future actions, ensuring modules achieve optimal testability and AI-navigability.

You need to analyze module seams for testability improvements during architecture reviews and refactors when facing architectural friction. Surfacing deepening opportunities at these seams enhances locality and AI-navigability across the codebase.