Code Splitting Best Practices
This guide outlines our approach to code splitting in the project, which helps reduce initial load times and improves performance by loading code only when needed.Table of Contents
- Introduction
- When to Use Code Splitting
- Implementation Techniques
- Performance Considerations
- Testing Split Components
- Examples from Our Codebase
Introduction
Code splitting is a technique that breaks down our application code into smaller chunks that can be loaded on demand or in parallel. This improves:- Initial Load Time: Users download only the code necessary for the current view
- Resource Usage: Reduces memory usage by loading components only when needed
- Perceived Performance: Main thread is less blocked during initial render
When to Use Code Splitting
Code splitting is most effective for:- Large Components: Components over 20KB in size
- Conditionally Rendered Components: UI that isn’t immediately visible (tabs, modals, etc.)
- Route-Based Splitting: Different pages/routes
- Feature-Based Splitting: Optional features that aren’t needed by all users
Good Candidates in Our Project
- Analytics Dashboards: Large, data-visualization-heavy components
- Media Processing Components: Components that handle image/video processing
- Complex Form Systems: Multi-step forms, specialized inputs
- Rich Text Editors: WYSIWYG editors and formatting tools
- Interactive Chat Interfaces: Real-time messaging and complex UI
Implementation Techniques
React Component Lazy Loading
For React components, use React’s built-inlazy and Suspense APIs:
Astro Dynamic Imports
For Astro components with client interactive components, use bothclient:only and dynamic imports:
Manual Dynamic Imports
For utility functions and non-UI code:Performance Considerations
- Loading States: Always provide meaningful loading states while chunks load
- Prefetching: Consider prefetching important chunks before they’re needed
- Chunk Size Monitoring: Track chunk sizes in build output to identify optimization opportunities
- Bundle Analysis: Periodically run bundle analysis tools to identify bloated dependencies
Testing Split Components
When testing code-split components:- Test the component in isolation as you would any component
- Test the loading state appearance and behavior
- Test the component integration, including the dynamic loading process
- Test error handling for load failures
Examples from Our Codebase
AnalyticsDashboardReact
We lazy load the analytics dashboard since it’s data-visualization heavy and not needed immediately:MentalHealthChatDemo
For the mental health chat demo, we use Astro’s dynamic imports with client:only:Best Practices Summary
- Be Selective: Only split components that provide meaningful performance benefits
- Provide Good Loading States: Always show meaningful loading UI during fetch
- Error Handling: Handle loading failures gracefully
- Measure Impact: Verify performance improvements with tools like Lighthouse
- Consistent Approach: Follow the established patterns in this guide
- Document Split Points: Add comments explaining why a component is code-split