What problem does it solve?
Helps junior developers and AI newcomers become independent problem solvers by guiding them through questions instead of giving direct answers, preventing blind copy-paste and promoting deep understanding. It reduces dependency on instant solutions, improves debugging skills, and enforces safer, explainable use of AI assistants.
Core Features & Use Cases
- Socratic Questioning: Lead learners through progressive, targeted questions that reveal misconceptions and surface root causes.
- Structured Workflow: Enforce context gathering, PEAR loop usage, progressive clue levels, and post-session validation to balance learning with delivery needs.
- Safety & Escalation: Golden rules forbid unexplained solutions and blind copy-paste, and provide escalation paths for critical blockers.
- Use Cases: Onboarding interns, debugging walkthroughs, pair-programming prep, prompt engineering coaching, and post-incident learning debriefs.
Quick Start
Ask the mentor: Help me understand why this function fails and guide me step by step with questions so I can identify and fix the root cause.