docs: plan backend foundation phase
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@@ -15,6 +15,14 @@ while preserving an architecture that can later support general students.
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- **AND** grades the user's answers against explicit rubrics
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- **AND** creates an initial concept weakness map.
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#### Scenario: backend developer track is the first canonical track
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- **GIVEN** the MVP track catalog is initialized
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- **WHEN** the system loads the first interview track
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- **THEN** it provides the Backend Developer Interview track
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- **AND** includes HTTP, REST/API design, databases, transactions, caching,
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concurrency, testing, and system design basics as seed concept clusters.
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#### Scenario: practice session adapts to weak answers
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- **GIVEN** a user answers an interview question weakly or incorrectly
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@@ -23,6 +23,15 @@ The system SHALL express core tutor behavior as configurable workflows using
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- **THEN** it emits memory update candidates
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- **AND** each candidate identifies its evidence and confidence.
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#### Scenario: initial contract set is available for backend planning
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- **GIVEN** the backend workflow boundary is planned
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- **WHEN** implementation begins
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- **THEN** the initial contract set includes DiagnosticResult, GradedAnswer,
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MemoryUpdateCandidate, NextChallenge, ReadinessUpdate, OntologyGap, and
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TeachingAssetPrompt
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- **AND** each state-changing contract carries evidence references.
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### Requirement: Default LLM runtime is configurable
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The system SHALL keep the LLM model target configurable while defaulting the
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