In this lab, you'll build a real-time collaborative application where multiple users can work together with AI assistance. Implement WebSocket communication, conflict-free replicated data types (CRDTs), operational transformation, and integrate AI to provide intelligent suggestions and assistance in real-time.
Typescript
Real-time AI Collaboration
Create a collaborative AI tool with WebSockets. Build real-time editing, multi-user sync, and AI-powered suggestions.
4h 55min
11 modules
Advanced
What You'll Build
Learning Objectives
Implement WebSocket-based real-time communication
Build collaborative editing with CRDTs or OT
Handle multi-user state synchronization
Integrate AI for real-time suggestions
Implement presence and awareness features
Scale with Redis pub/sub and horizontal scaling
Prerequisites
Advanced TypeScript/JavaScript skills
Experience with React and state management
Understanding of WebSockets
Familiarity with concurrent systems
Course Modules
1
WebSocket Setup
Set up WebSocket server with Socket.io or native WebSockets, implement connection handling and authentication.
2
Client-Server Communication
Build bidirectional communication, implement message protocols, and handle connection states.
3
Collaborative Data Structures
Implement CRDTs with Yjs or Automerge for conflict-free collaborative editing.
4
State Synchronization
Sync application state across clients, handle updates efficiently, and implement delta updates.
5
Presence & Awareness
Add user presence indicators, cursor positions, selections, and user activity status.
6
AI Integration
Integrate AI to provide real-time suggestions, autocomplete, and intelligent assistance as users collaborate.
7
Conflict Resolution
Handle edge cases, implement conflict resolution strategies, and ensure data consistency.
8
Performance Optimization
Optimize message payloads, implement throttling and debouncing, and reduce bandwidth usage.
9
Redis Pub/Sub
Scale horizontally with Redis pub/sub, handle multiple server instances, and maintain consistency.
10
Offline Support
Implement offline-first architecture, queue operations, and sync when connection restored.
11
Production & Monitoring
Add monitoring, handle connection limits, implement rate limiting, and deploy at scale.
