codebase-mapping

To map a codebase, you scan the repository structure, read entry points, and trace critical data flows end-to-end. This builds a comprehensive mental model of core modules and dependencies, reducing guesswork before modifications.

The best way to trace data flows is to expose two critical end-to-end paths, revealing how data moves across modules and highlighting dependencies. This evidence-driven method relies on code and configurations rather than READMEs alone.

Codebase mapping helps refactor planning by distinguishing business logic from infrastructure and mapping the directory tree. It establishes a mental model of dependencies, ensuring observation precedes modification to lower risk.

Yes, you can use codebase mapping for pre-audit assessments. It evaluates the directory tree, validates existing documentation against actual code, and traces data movement, providing a reliable structural overview before deep analysis.

You should observe code structure before modifying it to follow the iron law of observation first. Mapping dependencies and data flows reduces guesswork and risk, ensuring changes are based on evidence from code rather than assumptions.