improve-codebase-architecture

Identify shallow modules and dependency leakage by scanning the codebase structure to detect interface complexity across project domains. This architectural analysis highlights tightly-coupled seams that hinder testability and AI navigation.

Refactor codebase architecture by proposing changes that transform shallow modules into deep, testable components. This deepening process reduces friction and improves codebase navigation for AI-driven development.

Visual reporting generates a self-contained HTML report with before and after diagrams. These reports visualize deepening opportunities and architectural seams to facilitate structural decision-making.

Enforce a consistent design vocabulary by applying a strict architectural glossary during codebase analysis. This ensures standardized discussions around modules, interfaces, depth, seams, adapters, leverage, and locality.

Run an architectural review when tightly-coupled modules make code difficult to test, understand, and maintain. This scan detects shallow structures and generates a refactoring report in your temporary directory.

This codebase analysis operates without external dependencies. It natively scans the current repository structure to identify architectural friction and generate self-contained visual HTML reports.