improve-codebase-architecture

To identify shallow modules and cross-seam leakage, scan your codebase to detect architectural friction that reduces testability and AI navigability. This process organically explores your project structure to flag tightly coupled code leaking across seams, outputting a prioritized list of low-effort, high-impact refactors.

Visualize codebase architecture refactoring by generating a self-contained HTML report with before and after diagrams. This report includes styled Mermaid flowcharts, mass diagrams, and cross-sections to illustrate proposed deepening refactors and clearly explain structural changes.

Prioritize refactoring tasks to improve maintainability by scanning for architectural friction and applying a guided grilling loop. This loop walks you through structured refinement to select and implement low-effort, high-impact changes that deepen module structure and long-term testability.

Yes, you can scan software engineering projects of any size for architectural improvements. The scanning process organically explores the codebase without rigid size constraints, effectively identifying shallow modules and hard-to-test components regardless of total project scale.

Yes, codebase architecture scanning respects existing Architecture Decision Records to avoid re-litigating settled decisions. It integrates domain modeling to update project context while ensuring identified refactoring candidates align with established technical constraints.