improve-codebase-architecture

Codebase refactoring identifies tight coupling and shallow modules by analyzing architectural friction, surfacing pass-through modules, and ranking deepening opportunities by strength to prioritize changes. It targets modules that feel shallow or hard to test.

The best way to improve codebase testability and locality is to perform a module testability analysis that finds architectural seams, reduces test pain, and proposes deepening opportunities with clear before-and-after diagrams.

You generate an architecture review report by running a repository analysis that produces a self-contained HTML report, featuring before-and-after Mermaid diagrams, concise findings, and a top recommendation for refactoring.

Yes, architecture review supports repository reviews and seam identification directly, requiring only domain glossary and ADR awareness to surface friction, operating with no external dependencies.

Codebase architecture feels shallow when complexity is spread across too many files with poor locality, requiring an architectural friction analysis to surface and rank the strongest deep refactor candidates.

Automated architecture review for module testability analysis requires domain glossary and ADR awareness to function accurately, meaning its recommendations are limited by the provided context and repository structure.