GSD Codebase Mapper

To analyze a codebase for structure and technical debt, you can use a codebase mapper to scan project structure, dependencies, and patterns, which then generates architecture documentation. This surfaces anti-patterns and debt indicators to inform modernization.

The best way to document architecture for a monorepo is to scan its structure and dependencies to automatically generate ARCHITECTURE.md and STACK.md files. This captures modules, conventions, and design patterns across multiple languages.

Yes, you can scan a multi-language legacy codebase for dependencies and patterns. The mapper analyzes cross-package conventions and module layouts, making it applicable for legacy systems to reveal structural dependencies and technical debt.

Codebase mapping helps with onboarding new teams by producing architecture and stack documentation that clearly outlines entry points, modules, and test layouts. Generated files like ARCHITECTURE.md provide immediate context for system design.

Scanning large repositories for anti-patterns relies on configurable scanning rules to manage complexity. While it effectively surfaces debt indicators, extremely complex or undocumented legacy structures may require manual review to fully interpret the generated architecture documentation.