Implement Advanced Performance Optimization

[RUKAYAT-CODER]

Overview

Create performance optimization features including code splitting, lazy loading, and intelligent prefetching.

Background

Platform performance directly impacts user experience, requiring sophisticated optimization techniques for fast loading times.

Specifications

Components to Create:

• PerformanceMonitor for real-time metrics
• LazyLoadingManager for component optimization
• PrefetchingEngine for predictive loading
• BundleOptimizer for code splitting

Tasks:

• Implement intelligent code splitting strategies
• Create lazy loading for images and components
• Add predictive prefetching based on user behavior
• Implement performance monitoring and alerts
• Create bundle size optimization tools

Impacted Files:

• src/components/performance/PerformanceMonitor.tsx (new)
• src/components/performance/LazyLoadingManager.tsx (new)
• src/components/performance/PrefetchingEngine.tsx (new)
• src/utils/performanceUtils.ts (new)
• src/hooks/usePerformanceOptimization.tsx (new)
• src/services/bundleOptimizer.ts (new)

Labels: frontend, performance, optimization, lazy-loading, priority-medium

Acceptance Criteria

• Page load times are under 3 seconds on average
• Images and components load only when needed
• Prefetching accurately predicts user navigation
• Performance monitoring identifies bottlenecks
• Bundle sizes are optimized for minimal loading time

Figma Link

🙌Contribution Guidelines:

Assignment required before PR submission
Timeframe: 24 48 hours
PR description must include: Close #10
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[Richiey1]

@Richiey1 has applied to work on this issue as part of the Stellar Wave Program's 2nd wave.

Hi.. I’d be happy to work on this.
I have hands-on experience with Soroban contracts and TypeScript-based frontends, and I’m comfortable implementing contract interactions cleanly and safely. I’ll follow the existing patterns in the repo and ensure the solution is well-tested and maintainable.
Please feel free to assign it to me.

ℹ️ Repo Maintainers: To accept this application, review their application or assign @Richiey1 to this issue.

[bakarezainab]

@bakarezainab has applied to work on this issue as part of the Stellar Wave Program's 2nd wave.

Hi I'm a web3 full stack developer. Kindly assign this issue to me

ℹ️ Repo Maintainers: To accept this application, review their application or assign @bakarezainab to this issue.

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Congratulations, @Richiey1! 🎉 Your application was accepted by the repo's maintainers, and the issue is due on February 26, 2026.

🧑‍💻 @Richiey1: Please resolve the issue such that the repo's maintainers have enough time to review your contribution before the due date. You'll earn Points for completing the issue on-time, which will make you eligible for a share of the Stellar Wave Program's reward pool.

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