Frontend Performance Optimization

This section documents performance optimization strategies in the Catalyst Voices frontend application.

Overview

The application implements various performance optimizations including caching, lazy loading, code splitting, and efficient asset management.

Optimization Strategies

Local-First Architecture

• Local Database: All data cached locally in SQLite
• Offline Support: Full functionality without network
• Background Sync: Data synced in background
• Optimistic Updates: Immediate UI feedback

Reactive Updates

• BLoC Streams: Reactive state updates
• Watch Queries: Database watch queries for automatic updates
• Efficient Rebuilds: Only affected widgets rebuild

Asset Optimization

• SVG Compilation: SVGs compiled to efficient binary format
• WebP Images: WebP format for smaller file sizes
• Asset Preloading: Critical assets precached
• Lazy Loading: Assets loaded on demand

Code Splitting

• Deferred Loading: Translations loaded on demand
• Route-based Splitting: Code split by routes
• Package Organization: Modular package structure

Caching Strategies

• Repository Cache: Repositories cache API responses
• Image Cache: Flutter's image cache
• Database Cache: Local database for all data
• Memory Cache: In-memory caches for frequently accessed data

Performance Monitoring

Profiling

• CatalystProfiler: Custom profiling for performance analysis
• Startup Profiling: Startup time tracking
• Database Profiling: Query performance monitoring

Metrics

• Build Size: Monitor bundle sizes
• Load Times: Track initial load times
• Render Performance: Monitor frame rates

Best Practices

1. Cache aggressively: Cache data locally for offline access
2. Lazy load: Load resources on demand
3. Optimize assets: Use efficient formats and compression
4. Minimize rebuilds: Use BLoC selectors for targeted updates
5. Profile regularly: Monitor performance metrics
6. Optimize queries: Use efficient database queries
7. Code split: Split code for better loading performance