improve-codebase-architecture

Deepening opportunities in tightly coupled modules are identified by analyzing domain glossary alignment and ADR decisions to locate shallow architectural seams. This guides exploration of concrete candidates with explainable locality and leverage metrics.

Architectural deepening is the process of uncovering friction in shallow interfaces to propose robust structural refactor paths. You should apply it when analyzing domain language and ADRs to surface high-leverage opportunities in tightly coupled codebases.

Use ADRs and CONTEXT.md vocabulary to align domain language with architectural decisions, identifying deepening candidates and iterating through a grilling loop. This convergence process yields a robust, validated codebase refactoring strategy.

Yes, you can evaluate proposed refactorings by formatting deepening candidates with explainable locality and leverage metrics. This assessment is supported by analyzing ADR considerations and domain language alignment within your existing codebase architecture.

The best way to refactor tightly coupled modules while maintaining domain consistency is to align changes with CONTEXT.md and LANGUAGE.md vocabulary. Propose deepening candidates iteratively using a grilling loop to validate architectural leverage and locality.

While analyzing ADR decisions is a core feature for locating shallow modules, the approach also relies heavily on CONTEXT.md and domain language vocabulary. Lacking ADRs may limit the depth of architectural friction surfacing and deepening candidate accuracy.