Optimize Node.js and Express API Performance

Use this AI prompt to analyze your Express app and get AI-generated recommendations for performance improvements such as caching, async optimization, and route-level profiling.

🧠 What This Prompt Does

This AI prompt helps developers analyze and optimize Node.js APIs for better performance and lower latency.
It provides actionable recommendations for middleware efficiency, caching, async handling, and code profiling.


💬 The Prompt

You are a Node.js performance expert.
Analyze the provided Express app code and suggest improvements to:

- Reduce response time
- Optimize async/await logic
- Add caching where appropriate
- Minimize middleware overhead
  Provide improved code snippets and reasoning.

🚀 Example Output (AI Generated)

// Example caching middleware with Redis
import express from 'express';
import Redis from 'ioredis';
const redis = new Redis();
const app = express();

const cache = (req, res, next) => {
  redis.get(req.originalUrl).then((cached) => {
    if (cached) return res.json(JSON.parse(cached));
    res.sendResponse = res.json;
    res.json = (body) => {
      redis.setex(req.originalUrl, 60, JSON.stringify(body));
      res.sendResponse(body);
    };
    next();
  });
};

app.get('/users', cache, async (req, res) => {
  const users = await db.users.findMany();
  res.json(users);
});

📘 When to Use This Prompt

  • When facing slow API response times.
  • To optimize endpoints that perform redundant DB queries.
  • During performance audits or load testing.

💡 Best Practices

  • Use in-memory or Redis caching for frequently accessed routes.
  • Avoid synchronous blocking operations (like fs.readFileSync).
  • Implement compression and ETag headers for static content.
  • Profile and log endpoint latency with middleware.

🏁 Summary

This prompt helps developers identify and fix backend bottlenecks, ensuring faster, scalable, and efficient Node.js APIs for production-grade systems.

Frequently Asked Questions

How can I detect performance bottlenecks?

Use the Node.js profiler, clinic.js, or middleware timing logs to identify slow endpoints.

Should I use clustering or worker threads?

Yes, for CPU-bound tasks. For I/O-heavy tasks, async optimization and caching are better.

What about caching layers?

Use Redis or in-memory caches for repeated data requests, especially GET endpoints.

nodejsperformanceoptimizationexpressai-prompt

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