improve-codebase-architecture

To refactor shallow modules and improve codebase architecture, identify modules where the interface complexity matches the implementation, then introduce structural seams to deepen them. This process enhances testability, maintainability, and AI-navigability across medium-to-large codebases.

Architectural seams are specific insertion points that decouple shallow modules to improve code quality. You need them when modules exhibit high friction, allowing you to separate concerns, enforce domain vocabulary, and increase testability across the codebase.

To identify shallow modules in a large codebase, analyze areas where the interface is nearly as complex as the implementation. This architectural friction indicates a lack of depth, signaling opportunities to refactor for improved locality and leverage.

Yes, you can use domain vocabulary to guide codebase refactoring. Enforcing a shared domain language, such as a LANGUAGE.md file, aligns structural improvements with project governance and ADR guidance, ensuring deepened modules accurately reflect business concepts.

Yes, this approach works specifically for medium-to-large codebases seeking better testability. By surfacing architectural friction and selecting appropriate seams, it outputs a prioritized list of deepening candidates with problem statements and proposed changes.

The best way to prioritize codebase deepening opportunities is to generate a prioritized list of candidates that includes involved files, problem statements, and proposed changes. This targeted approach maximizes maintainability and AI-navigability improvements.