High Priority
Vibe Code Issue

Slow Performance in AI-Built Applications

AI-generated applications often suffer from unoptimized database queries, excessive re-renders, large bundle sizes, and missing caching. This leads to slow page loads, poor Core Web Vitals, and frustrated users.

1 tool can help3 verified agencies

Common Symptoms

  • Pages take more than 3 seconds to load
  • Lighthouse performance score below 50
  • Excessive API calls on every page navigation
  • Large JavaScript bundle sizes (500KB+)
  • Database queries returning entire tables instead of filtered results
  • Missing image optimization and lazy loading

Try These Fixes First

Before hiring an agency, try these steps yourself. Many common issues can be resolved with the right approach.

1

Run Lighthouse audit and identify largest bottlenecks

2

Add image optimization (next/image, WebP format, lazy loading)

3

Implement code splitting and dynamic imports for heavy components

4

Add database query indexes and use select() to limit returned columns

5

Enable caching headers and use ISR for static content

6

Profile React renders and add memoization where needed

Tools That Help

Cursor

Helpful

Cursor can help identify and optimize slow code paths, add memoization, and refactor expensive operations.

Free / $20/mo and up

Frequently Asked Questions

Why are AI-generated apps often slow?

AI tools prioritize working code over optimized code. They often fetch more data than needed, skip caching, include unnecessary dependencies, and generate unoptimized database queries.

What performance score should my vibe-coded app target?

Aim for a Lighthouse performance score of 80+ for a good user experience. Scores below 50 indicate significant issues that will hurt SEO rankings and user retention.