Implement logging and monitoring for Google Antigravity IDE
# Observability Patterns for Google Antigravity
Master logging and observability in Google Antigravity IDE.
## Structured Logging
```typescript
import pino from "pino";
const logger = pino({
level: process.env.LOG_LEVEL || "info"
});
export function createLogger(context: Record<string, unknown>) {
return logger.child(context);
}
const log = createLogger({ requestId: "abc123" });
log.info({ action: "user_login" }, "User logged in");
```
## Request Logging
```typescript
import { NextRequest, NextResponse } from "next/server";
export async function loggingMiddleware(request: NextRequest) {
const requestId = crypto.randomUUID();
const start = Date.now();
const log = createLogger({
requestId,
method: request.method,
path: request.nextUrl.pathname
});
log.info("Request started");
const response = NextResponse.next();
response.headers.set("X-Request-Id", requestId);
log.info({ duration: Date.now() - start }, "Request completed");
return response;
}
```
## Best Practices
1. **Structured logging** - JSON format
2. **Correlation IDs** - Track requests
Google Antigravity IDE provides observability scaffolding.This Logging prompt is ideal for developers working on:
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 logging implementations.
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.
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.
You can modify the prompt by adding specific requirements, constraints, or preferences. For Logging projects, consider mentioning your framework version, coding style, and any specific libraries you're using.