The Science of Understanding AI-Generated Code
VibeUniv isn't just an educational platform. By combining an ontology-based knowledge system with an adaptive learning engine, we deliver a learning experience optimized for each user.
Knowledge Graph System
Even with thousands of books in a library, you can't find what you need without a classification system. VibeUniv's knowledge graph is the classification system for the programming world.
Concept Classification
Core concepts are systematically classified for each technology like Next.js, React, TypeScript.
Prerequisite Mapping
Automatically identifies prerequisites like "learn Components before React Hooks."
Personal Mastery Tracking
Track your understanding of each concept individually and automatically find gaps.
π‘ Thanks to the knowledge graph, we can make contextual recommendations like "You've mastered App Router, so you're ready for Server Actions."
Adaptive Curriculum Engine
Even with the same technology, every project's code is different. VibeUniv analyzes your actual code and generates learning content tailored to it.
Project Analysis
Analyze source code to automatically identify technologies, patterns, and architecture.
Auto Difficulty Adjustment
Automatically determine beginner/intermediate/advanced based on project complexity. Beginners get more analogies and visual explanations.
Your Code as Textbook
Explanations reference your actual code, not abstract examples. Like "In your layout.tsx, this part..."
Diverse Learning Activities
Concept explanations, code walkthroughs, quizzes, code challenges, and reflections help you achieve complete understanding through varied repetition.
Local-First AI Architecture
When connected via MCP (Model Context Protocol), AI analysis and content generation run directly in your local environment. Your code never leaves your machine.
Code Privacy Guaranteed
Analysis is performed by local AI, and only results (tech stack list) are stored on the server. Your source code is never sent to the server.
Cost Efficient
By minimizing server-side AI calls, we significantly reduce operating costs. These savings translate to reasonable pricing for you.
Supported AI Coding Tools
Multi-LLM Support
Not locked into a single AI model. With support for 11 LLM providers, you can choose the best model for each task.
Code analysis & learning content
General-purpose AI tasks
Large context processing
Fast and economical processing
π‘ BYOK (Bring Your Own Key): On Pro plan, register your own API key to freely use any model. Keys are encrypted with AES-256-GCM for secure storage.
Content Quality Assurance
AI-generated learning content undergoes automatic quality verification. If it doesn't meet standards, it's automatically regenerated to ensure a consistently high-quality learning experience.
Difficulty-Specific Standards
Beginners get more detailed explanations, more code examples, and more quizzes. Advanced learners get concise, focused content.
Auto Verification & Regeneration
If generated content doesn't pass quality standards, it's automatically regenerated. Users only ever see verified content.
Multilingual Content
We provide native-quality learning content in both Korean and English. Not translations, but content optimized for each language.
How We're Different
Traditional
- β Learn with generic example code
- β Same curriculum for everyone
- β Random learning without prerequisites
- β Content unrelated to your project
- β Difficult to track progress
VibeUniv
- β Learn with your actual code as textbook
- β 1:1 curriculum tailored to your project
- β Systematic learning via knowledge graph
- β AI tutor answers in your code's context
- β Concept mastery + streak tracking
Experience the Difference
Connect your AI-built project and start ontology-based personalized learning.