adopt-project

To understand an existing codebase, you can perform an honest triage to evaluate whether to adopt, trim, or rebuild it, mapping files and knowledge gaps to turn mystery boxes into documented concepts.

The best way to learn how AI-generated code works is to transform it into a structured learning journey by creating an understanding inventory that maps your knowledge gaps and establishes a documented file map.

To create a development plan for a poorly understood project, you can use forward planning to sequence new feature development alongside the reclamation of code you do not yet understand.

Yes, you can use interactive, evidence-based code reviews to map knowledge gaps in a codebase, provided you have a local project directory available to facilitate the transition into a learner-owned project.

You should triage a tutorial codebase instead of rebuilding it when an honest evaluation determines the existing foundation is solid enough to adopt, allowing you to document learned concepts rather than starting from scratch.

No, adopt-project does not require external dependencies, but it does require the presence of a local project directory and the ability to perform interactive, evidence-based code reviews to map your files.