codebase-structure

Codebase architecture discovery automates mapping for large multi-module repositories by generating a MasterIndex containing structural and feature matrices, dependency graphs, and annotated directory trees. It enforces explicit file-level evidence for each module to support downstream documentation workflows.

Dual-axis module discovery maps codebase architecture by analyzing structural modules for technical layout and feature modules for business capabilities. Both axes are mapped to a MasterIndex to provide a comprehensive architectural overview.

Generating a dependency graph with file-level evidence requires automating exhaustive dependency mapping across the repository while enforcing explicit files and paths for each module. The output includes architecture pattern tagging and artifacts consumable by codebase-documentation workflows.

Automated architecture pattern tagging supports codebase documentation by producing output artifacts like a MasterIndex.md and architecture diagrams. These artifacts are specifically designed to be consumable by downstream codebase-documentation workflows.

Codebase structure discovery is designed for large multi-module repositories, applying automated analysis to produce structural and feature matrices. It records the analysis date and tier while enforcing explicit evidence for each module.