An interactive learning assistant that helps developers understand AI-generated code changes through quizzes and blocking learning sessions. It tracks and searches debugging experiences using RAG to ensure users build long-term technical understanding rather than just copy-pasting solutions.
Provides educational tools for developers to learn programming concepts, review code, get best practices, compare approaches, generate learning paths, debug, explain code, and quiz themselves.
Enables AI assistants to act as apprentices that learn from users through the apprentice effect and spaced repetition, helping users solidify knowledge by teaching.
Enables recording and analyzing coding practice attempts, comparing LLM verdicts with platform results, and gradually improving LLM judgment through correction rules.
