Performance Optimization
Apply these performance optimization principles when developing web applications, themes, and frontend interfaces.
Core Performance Principles
- •Prioritize server-side rendering as a first principle, as opposed to client-side JavaScript
- •Minimize client-side JavaScript to reduce bundle size and improve Time to Interactive
- •Optimize for Core Web Vitals: LCP, FID, and CLS
- •Measure performance continuously and establish baselines
- •Consider performance impact of every architectural decision
Server-Side Rendering
- •Render content server-side whenever possible
- •Use streaming rendering for faster Time to First Byte
- •Implement proper caching strategies for rendered content
- •Avoid blocking resources that delay rendering
- •Pre-render static content where applicable
CSS Best Practices
Selector Efficiency
- •Avoid ID selectors for styling; use classes instead
- •Maintain specificity at 0 1 0 where possible
- •Avoid deep nesting of selectors (max 3 levels)
- •Use BEM or similar naming conventions for clarity
- •Prefer class selectors over element selectors
CSS Organization
- •Use CSS variables for colors, spacing, and repeated values
- •Group related styles logically
- •Remove unused CSS to reduce payload
- •Consider critical CSS inlining for above-the-fold content
- •Use CSS containment for complex layouts
Layout Performance
- •Avoid layout thrashing (forced synchronous layouts)
- •Use transform and opacity for animations (GPU accelerated)
- •Minimize paint and composite operations
- •Use will-change sparingly and intentionally
- •Prefer flexbox and grid over floats and positioning
JavaScript Optimization
Code Organization
- •Use the module pattern for code organization
- •Prefix private methods with appropriate indicators
- •Prefer const over let; avoid var
- •Avoid external dependencies when native APIs suffice
- •Split code into logical, loadable chunks
Loading Strategies
- •Defer non-critical JavaScript
- •Use async loading for independent scripts
- •Implement code splitting for large applications
- •Lazy load components and routes
- •Preload critical resources
Runtime Performance
- •Debounce and throttle event handlers appropriately
- •Use requestAnimationFrame for visual updates
- •Avoid long-running synchronous operations
- •Implement efficient DOM manipulation patterns
- •Use Web Workers for CPU-intensive tasks
Asset Optimization
Images
- •Use modern formats (WebP, AVIF) with fallbacks
- •Implement responsive images with srcset
- •Lazy load below-the-fold images
- •Optimize and compress all images
- •Use appropriate image dimensions
Fonts
- •Subset fonts to include only needed characters
- •Use font-display: swap for better perceived performance
- •Preload critical fonts
- •Limit the number of font variations
- •Consider system fonts for non-branded text
Caching Strategies
- •Implement appropriate cache headers for static assets
- •Use versioned filenames for cache busting
- •Configure CDN caching effectively
- •Implement service workers for offline support
- •Cache API responses where appropriate
Architecture Patterns
Theme and Component Architecture
- •Organize code into logical sections and blocks
- •Use proper folder structure for maintainability
- •Implement clear separation of concerns
- •Create reusable, composable components
- •Document component APIs and usage
Configuration and Settings
- •Organize settings logically with clear groupings
- •Use clear, descriptive naming conventions
- •Implement conditional logic to reduce complexity
- •Provide sensible defaults
- •Validate configuration at build time
Internationalization Performance
- •Ensure all text is translatable
- •Load translations efficiently (split by locale)
- •Use proper locale detection
- •Cache translated content appropriately
- •Consider right-to-left (RTL) layout implications
Measurement and Monitoring
- •Use Real User Monitoring (RUM) for production insights
- •Set up synthetic monitoring for baseline tracking
- •Monitor Core Web Vitals continuously
- •Track performance budgets in CI/CD
- •Analyze and act on performance regressions
Database Performance
- •Optimize queries and use proper indexing
- •Implement connection pooling
- •Use caching for frequently accessed data
- •Paginate large result sets
- •Monitor slow queries and optimize regularly