Lilly Tech Systems
React + AI
Build intelligent React applications powered by AI. Learn to create chat interfaces, stream LLM responses in real time, manage AI state with custom hooks, and handle errors gracefully — everything you need to add AI to your React apps.
What You'll Learn
By the end of this course, you'll confidently build AI-powered features into any React application.
Chat Components
Build reusable chat components with message bubbles, typing indicators, markdown rendering, and code highlighting.
Real-Time Streaming
Stream AI responses token by token using Server-Sent Events, fetch streams, and the Vercel AI SDK React hooks.
AI Hooks
Create custom React hooks for AI operations — useChat, useCompletion, and reusable patterns for any LLM provider.
Error Handling
Handle rate limits, network failures, token limits, and API errors gracefully with retry logic and user-friendly feedback.
Course Lessons
Follow the lessons in order or jump to any topic you need.
1. Introduction
Why React for AI apps? Explore the ecosystem of AI libraries, SDKs, and patterns available for React developers.
2. Setup
Set up a React project with AI dependencies. Configure API endpoints, install the AI SDK, and prepare your development environment.
3. Chat Components
Build a complete chat UI with message list, input form, typing indicators, markdown rendering, and auto-scroll.
4. Streaming
Implement real-time streaming responses with SSE, ReadableStream, and the AI SDK streaming utilities.
5. State Management
Manage AI conversation state, message history, caching, optimistic updates, and multi-conversation support.
6. Best Practices
Production patterns for error handling, accessibility, performance optimization, testing AI components, and security.
Prerequisites
What you need before starting this course.
- Solid understanding of React fundamentals (hooks, components, state)
- Node.js 18 or later installed
- An API key from OpenAI, Anthropic, or another LLM provider
- Basic knowledge of REST APIs and async JavaScript