KodaSync is a professional intelligence hub designed to centralize technical knowledge for software engineers. It combines a high-performance code editor with contextual AI agents to transform scattered code snippets into a searchable, neural knowledge base.
The platform solves the "lost context" problem in modern development by creating a semantic layer over every saved note. By utilizing high-dimensional vector embeddings, KodaSync understands the underlying intent and logic of your code rather than relying on traditional keyword matching.
- Neural Chat Interface: An AI-powered workspace using Retrieval Augmented Generation (RAG) to provide accurate, project-specific answers by referencing your personal library.
- The Studio: A full-featured code editor built with the Monaco Editor engine (the core of VS Code) for a native development experience.
- Semantic Note Library: A centralized repository where notes are processed in the background to generate technical tags and embeddings automatically.
- Project Contextualization: Organizes technical data into projects, allowing users to restrict AI agents to specific architectural rules and requirements.
- Knowledge Scraper: A specialized utility that imports and cleans data directly from technical documentation URLs to expand the neural brain.
The architecture is built for low latency and high concurrency using an async-first approach.
- Next.js 15 (App Router): High-performance React framework.
- Tailwind CSS & Shadcn/ui: Modern, responsive design system.
- Monaco Editor: Professional-grade code editing and syntax highlighting.
- Axios: Robust HTTP client for API communication.
- Lucide React & Sonner: Streamlined technical iconography and toast notifications.
- FastAPI: A modern, high-performance Python framework used for building the primary API with asynchronous support.
- SQLModel: Elegant database interaction combining SQLAlchemy and Pydantic.
- Groq SDK (Llama 3.1/3.3): Powers the AI core with ultra-fast inference for technical reasoning.
- SlowAPI: Token-bucket rate limiting to ensure system stability.
- Jose (JWT): Secure, industry-standard authentication and session management.
- PostgreSQL with pgvector (Supabase): Relational storage with specialized vector support for semantic retrieval.
- Redis (Upstash): High-speed caching for AI responses and rate-limiting state.
- RAG Chat System: Automatically retrieves relevant notes from your library to provide context-aware answers.
- AI Code Actions: Integrated tools to Fix, Document, Scan Security, and Generate Tests instantly from the editor.
- Semantic Search: Natural language search powered by FastEmbed 384-dimension vectors.
- URL Scraper: Seamlessly import technical snippets and full documentation pages from the web.
- Background AI Tasking: Non-blocking tag generation and embedding calculations to keep the UI responsive.
- Hybrid Authentication: Support for traditional credentials and secure GitHub OAuth integration.
- Project Isolation: Scope your searches and AI context to specific project boundaries.
- Real-time Event Bus: Custom UI events ensure the sidebar and library update instantly during modifications.
Designed for consistency across development and production environments.
- Docker & Docker Compose: Full containerization to ensure environment parity and simplified local setup.
- GitHub Actions: A robust CI/CD pipeline that executes the full integration test suite on every push.
- Pytest: Comprehensive testing suite covering API endpoints, authentication flows, and RAG logic.
- Managed Hosting: Backend deployed on Render (Python 3 runtime) and Frontend on Vercel (Edge network).