project-learner

Automated project interview preparation uses an interactive Q&A coach to evaluate your understanding of the codebase. It reads your project files and source tree to generate progressive interview questions with follow-ups, evaluating your answers to reveal knowledge gaps.

Tracking codebase learning progress is handled by persisting your Q&A scores and mastery levels into a LEARNING_PROGRESS.md file. This records your growth over time across 45 specific knowledge points within 10 distinct project domains.

Mastering project knowledge points happens via a guided 9-phase workflow that automatically reads DEV_SPEC.md, config/settings.yaml, and the src/ and tests/ directories. It builds a targeted learning path to reduce confusion and speed up preparation without executing external code.

Local repository access is required to run the interview coach because it reads local project files directly. It analyzes the project source tree and configuration files to generate relevant interview questions and evaluate your technical understanding.

Interview-style Q&A tools can prepare you for a specific software project by analyzing your local repository structure. It generates a main interview question with up to four follow-ups per topic to deepen your understanding of the project's architecture and logic.

Project learning sessions stop if the automated workflow cannot parse the required DEV_SPEC.md, config/settings.yaml, or the src/ and tests/ directories. Ensure these specific files and folders exist in your local repository to cover all 45 knowledge points.