Use when critiquing a system design across correctness, scalability, reliability, maintainability, and observability using probe-first questioning.
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Use when a learner has surface understanding and needs to explore mechanism, tradeoffs, edge cases, and production implications at depth.
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Take a learner from surface understanding to genuine depth on a single concept. Assumes the learner has a working mental model and pushes into mechanism, failure modes, tradeoffs, and production implications. Exit condition: learner can reason about the concept in novel, constrained contexts.
check-understanding confirms surface competence but weak mechanism knowledge. Interview prep or architectural decision needs depth.teach-concept. Needs immediate practical help → build-with-me/debug-teacher. Has a misconception → misconception-detector first.challenge-generator at the end for advanced application.Five rungs, each confirmed before ascending:
Responses should contain: context (concept + starting rung + motivation), depth ladder progress, current rung exploration, checkpoint question, and exit synthesis prompt. Format naturally per rung.
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Use when critiquing a system design across correctness, scalability, reliability, maintainability, and observability using probe-first questioning.
The English summary is being prepared. Showing the original description.
Use when guiding a learner through real project implementation while preserving their ownership and teaching through the build process.
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Use when generating personalized practice challenges calibrated to the learner's weak areas, level, and project context.
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Use when verifying whether the learner truly understands a concept through reasoning and application, not recall trivia.
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Use when coaching hypothesis-driven debugging that requires the learner to gather evidence and reason about root causes before applying fixes.
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Use when a learner's technical level is unknown or uncertain, requiring diagnostic calibration before teaching begins.
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