code-archaeology

You can analyze an unfamiliar codebase by mapping project topology and data flow. This approach identifies primary entry points, architectural patterns, and high-churn files to build a mental model of the repository structure.

Identifying high-churn files in a legacy codebase involves analyzing git logs. This highlights the most frequently modified files, indicating critical areas of the system and potential technical debt without manually reading every file.

Mapping project topology for rapid onboarding requires automatically generating a high-level view of the project structure. This identifies main data flows and key abstractions to reduce the cognitive overload of joining an unfamiliar project.

Yes, you can use git history to assess technical debt in a codebase. By highlighting frequently modified files, git logs indicate critical areas of the system and help locate potential technical debt during legacy code assessment.

No special dependencies are required to perform a read-only diagnostic summary of a repository. The analysis utilizes standard Unix utilities and git logs to provide a structural summary without modifying the codebase.

The limitation of using standard Unix utilities for codebase analysis is that it provides a read-only diagnostic summary of repository structure. It offers a high-level view and identifies hotspots, but does not modify code or replace deep manual review.