I built an AI agent that writes entire React apps from a single prompt

# AI Agent Architecture

The agent uses a multi-step pipeline:

1. **Requirement Analysis** — Parses the prompt and extracts UI components, data models, and interactions
2. **Component Tree Generation** — Builds a React component hierarchy
3. **Code Synthesis** — Generates TypeScript + Tailwind code for each component
4. **Assembly & Testing** — Combines everything and runs automated checks

```typescript
const agent = new ReactAgent({
  model: 'gpt-4-turbo',
  framework: 'next.js',
  styling: 'tailwind',
  testing: true,
});

const app = await agent.generate(
  'Build a task management app with drag-and-drop, dark mode, and real-time sync'
);

console.log(app.files); // 23 files generated
console.log(app.tests); // 47 tests, all passing
```

The key insight was using a planning step before code generation.