FEAT: Subject-aware learning system with mode-based reasoning + docs#10
Merged
lingarobotics merged 3 commits intomainfrom Mar 28, 2026
Merged
FEAT: Subject-aware learning system with mode-based reasoning + docs#10lingarobotics merged 3 commits intomainfrom
lingarobotics merged 3 commits intomainfrom
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Why: Users need clarity on how to use different modes and understand system capabilities What: - Added FEATURE.md documenting core features and learning system design - Implemented Docs page with markdown-style structured layout - Introduced mode selection guidance and recommended learning flow How: - Built Docs.jsx with sectioned layout and sticky navigation - Designed docs as a decision guide instead of static feature listing
Why: General AI responses were leaking across domains, reducing clarity and exam relevance What: - Introduced subject input for focused responses - Integrated context across all modes - Enforced strict domain-aware prompting How: - Added ContextProvider for global state - Created SubjectInput component - Passed context through API pipeline - Strengthened prompt rules for subject alignment
Why: Improve usability and fix API mismatch What: - Added Docs navigation - Fixed reset-password payload - UI improvements How: - Updated AppShell - Aligned frontend-backend contract - Refined styles
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🚀 Overview
This PR introduces a subject-aware learning system integrated across all modes, along with a structured documentation layer and UX improvements.
The system shifts from generic AI responses to context-controlled, learning-oriented outputs.
🎯 Why
Previously, responses were:
This PR solves that by introducing:
🧠 Core Features Added
🎯 Subject-Aware Learning
📌 Core Points Extraction
🧠 Understanding Verification
🧩 Structured Answer System
🧠 Mode Behavior (Refined)
📘 Documentation System
FEATURE.mdfor core system explanation/docspage:🎨 UX Improvements
🏗️ Implementation Details
Backend
Frontend
ContextProviderfor global subject stateSubjectInputcomponent🧪 Testing Notes
🧭 Impact
This PR transforms the system from:
to:
🏁 Summary