Google Antigravity Directory

The #1 directory for Google Antigravity prompts, rules, workflows & MCP servers. Optimized for Gemini 3 agentic development.

Resources

PromptsMCP ServersAntigravity RulesGEMINI.md GuideBest Practices

Company

Submit PromptAntigravityAI.directory

Popular Prompts

Next.js 14 App RouterReact TypeScriptTypeScript AdvancedFastAPI GuideDocker Best Practices

Legal

Privacy PolicyTerms of ServiceContact Us
Featured on FazierFeatured on WayfindioAntigravity AI - Featured on Startup FameFeatured on Wired BusinessFeatured on Twelve ToolsListed on Turbo0Featured on findly.toolsFeatured on Aura++That App ShowAI ToolzShinyLaunchMillion Dot HomepageSolver ToolsFeatured on FazierFeatured on WayfindioAntigravity AI - Featured on Startup FameFeatured on Wired BusinessFeatured on Twelve ToolsListed on Turbo0Featured on findly.toolsFeatured on Aura++That App ShowAI ToolzShinyLaunchMillion Dot HomepageSolver Tools

© 2026 Antigravity AI Directory. All rights reserved.

The #1 directory for Google Antigravity IDE

This website is not affiliated with, endorsed by, or associated with Google LLC. "Google" and "Gemini" are trademarks of Google LLC.

Antigravity AI Directory
PromptsMCPBest PracticesUse CasesLearn
Home
Prompts
Code Splitting Complete Guide

Code Splitting Complete Guide

Optimize bundle size with code splitting and lazy loading

performancecode-splittingnextjsoptimization
by antigravity-team
⭐0Stars
.antigravity
# Code Splitting Complete Guide for Google Antigravity

Optimize your application bundle size with code splitting using Google Antigravity IDE.

## Dynamic Imports in Next.js

```typescript
// components/heavy-component.tsx
"use client";

import dynamic from "next/dynamic";
import { Suspense } from "react";

const HeavyChart = dynamic(() => import("./chart"), {
  loading: () => <ChartSkeleton />,
  ssr: false
});

const CodeEditor = dynamic(
  () => import("@monaco-editor/react"),
  {
    loading: () => <div className="h-[400px] bg-gray-100 animate-pulse rounded-lg" />,
    ssr: false
  }
);

// Preload on hover
const Modal = dynamic(() => import("./modal"));

function MyComponent() {
  const handleMouseEnter = () => {
    import("./modal");
  };

  return (
    <button onMouseEnter={handleMouseEnter} onClick={() => setShowModal(true)}>
      Open Modal
    </button>
  );
}
```

## Optimizing Third-Party Libraries

```typescript
// Import only what you need
// Bad - imports entire library
import _ from "lodash";

// Good - tree-shakeable import
import debounce from "lodash/debounce";

// Better - use smaller alternative
import { debounce } from "lodash-es";

// Best - native or tiny utility
function debounce<T extends (...args: any[]) => any>(fn: T, ms: number) {
  let timeoutId: NodeJS.Timeout;
  return (...args: Parameters<T>) => {
    clearTimeout(timeoutId);
    timeoutId = setTimeout(() => fn(...args), ms);
  };
}
```

## Best Practices

1. **Split by route** for automatic optimization
2. **Lazy load heavy components** below the fold
3. **Preload critical chunks** on interaction hints
4. **Analyze bundle** regularly to find issues
5. **Use tree-shaking** compatible imports
6. **Set up loading states** for all lazy components
7. **Monitor Core Web Vitals** for impact

Google Antigravity helps identify code splitting opportunities and optimize bundle size.

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.

Related Prompts

💬 Comments

Loading comments...