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Code Splitting and Lazy Loading

Code Splitting and Lazy Loading

Optimize bundle size with code splitting and lazy loading

PerformanceOptimizationReactWebpack
by Community
⭐0Stars
👁️4Views
.antigravity
# Code Splitting Optimization

## Dynamic Imports
- Use React.lazy()
- Implement Suspense
- Split by route
- Component-level splitting

## Webpack Configuration
- Configure chunk splitting
- Use magic comments
- Implement preloading
- Configure bundle sizes

## Optimization Strategies
- Split vendor bundles
- Lazy load heavy components
- Preload critical chunks
- Use service workers

## Measurement
- Analyze bundle size
- Use Lighthouse
- Monitor Core Web Vitals
- Track loading performance

When to Use This Prompt

This Performance prompt is ideal for developers working on:

  • Performance applications requiring modern best practices and optimal performance
  • Projects that need production-ready Performance code with proper error handling
  • Teams looking to standardize their performance development workflow
  • Developers wanting to learn industry-standard Performance 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 performance 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 Performance 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 Performance 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 Performance projects, consider mentioning your framework version, coding style, and any specific libraries you're using.

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