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WebSocket Real-time Guide

WebSocket Real-time Guide

Build real-time applications with WebSockets for Google Antigravity IDE

WebSocketReal-timeBackendFull Stack
by Antigravity AI
⭐0Stars
.antigravity
# WebSocket Real-time Guide for Google Antigravity

Master real-time communication with WebSockets in Google Antigravity IDE. This comprehensive guide covers connection management, message protocols, reconnection strategies, scaling patterns, and security considerations for building responsive real-time applications.

## Configuration

Configure your Antigravity environment for WebSockets:

```typescript
// .antigravity/websocket.ts
export const wsConfig = {
  features: {
    heartbeat: true,
    reconnection: true,
    compression: true,
    rooms: true
  },
  protocols: ["json", "binary"]
};
```

## Server Implementation

Create a WebSocket server:

```typescript
import { WebSocketServer, WebSocket } from "ws";

const wss = new WebSocketServer({ port: 8080 });

interface Client extends WebSocket {
  id: string;
  userId: string;
  rooms: Set<string>;
}

const clients = new Map<string, Client>();

wss.on("connection", (ws: Client) => {
  ws.id = crypto.randomUUID();
  ws.rooms = new Set();
  clients.set(ws.id, ws);

  ws.on("message", (data) => {
    const message = JSON.parse(data.toString());
    handleMessage(ws, message);
  });

  ws.on("close", () => {
    clients.delete(ws.id);
  });
});
```

## Room Management

Implement room-based messaging:

```typescript
function joinRoom(client: Client, roomName: string) {
  client.rooms.add(roomName);
  broadcastToRoom(roomName, {
    type: "user_joined",
    userId: client.userId
  }, client.id);
}

function broadcastToRoom(roomName: string, data: unknown, excludeId?: string) {
  clients.forEach((client) => {
    if (client.rooms.has(roomName) && client.id !== excludeId) {
      client.send(JSON.stringify(data));
    }
  });
}
```

## Best Practices

Follow these guidelines for WebSockets:

1. **Implement heartbeats** - Detect stale connections
2. **Handle reconnection** - Exponential backoff
3. **Queue messages** - Buffer during disconnects
4. **Use rooms** - Efficient broadcast targeting
5. **Authenticate connections** - Verify on upgrade
6. **Rate limit** - Prevent message flooding

Google Antigravity IDE provides intelligent WebSocket scaffolding and real-time pattern suggestions.

When to Use This Prompt

This WebSocket prompt is ideal for developers working on:

  • WebSocket applications requiring modern best practices and optimal performance
  • Projects that need production-ready WebSocket code with proper error handling
  • Teams looking to standardize their websocket development workflow
  • Developers wanting to learn industry-standard WebSocket patterns and techniques

By using this prompt, you can save hours of manual coding and ensure best practices are followed from the start. It's particularly valuable for teams looking to maintain consistency across their websocket implementations.

How to Use

  1. Copy the prompt - Click the copy button above to copy the entire prompt to your clipboard
  2. Paste into your AI assistant - Use with Claude, ChatGPT, Cursor, or any AI coding tool
  3. Customize as needed - Adjust the prompt based on your specific requirements
  4. Review the output - Always review generated code for security and correctness
💡 Pro Tip: For best results, provide context about your project structure and any specific constraints or preferences you have.

Best Practices

  • ✓ Always review generated code for security vulnerabilities before deploying
  • ✓ Test the WebSocket code in a development environment first
  • ✓ Customize the prompt output to match your project's coding standards
  • ✓ Keep your AI assistant's context window in mind for complex requirements
  • ✓ Version control your prompts alongside your code for reproducibility

Frequently Asked Questions

Can I use this WebSocket prompt commercially?

Yes! All prompts on Antigravity AI Directory are free to use for both personal and commercial projects. No attribution required, though it's always appreciated.

Which AI assistants work best with this prompt?

This prompt works excellently with Claude, ChatGPT, Cursor, GitHub Copilot, and other modern AI coding assistants. For best results, use models with large context windows.

How do I customize this prompt for my specific needs?

You can modify the prompt by adding specific requirements, constraints, or preferences. For WebSocket projects, consider mentioning your framework version, coding style, and any specific libraries you're using.

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