codebase-mapping

To map a codebase before refactoring, perform a phase-driven analysis including a surface scan, structure mapping, dependency analysis, and data flow tracing. This creates a reliable mental model of the system to guide safe modifications.

The best way to onboard to a new codebase is to identify and document entry points and critical paths through systematic mapping. This creates a comprehensive mental model, ensuring a smooth transition when modifying the system.

Data flow tracing during an architectural review tracks how information moves through the system to map dependencies and critical paths. Documenting these flows ensures a reliable mental model before conducting major refactors or migrations.

Yes, you can use codebase mapping for complex migrations and audits. By documenting the system structure and dependencies, it creates a comprehensive mental model that reduces risk and ensures safe transitions during major modifications.

To document dependencies and critical paths, execute a phase-driven analysis starting with a surface scan and structure mapping. This identifies the necessary data flows and entry points required to build a reliable mental model of the codebase.