Fine-tune Code Efficiency and Structure

[Hemanthr1]

Issue Description

While our Next.js application for Quash has already undergone significant optimization and structuring, we aim to identify and address any remaining areas for improvement. This task involves a detailed review of our codebase to find opportunities for further enhancement in efficiency, structure, and performance.

Environment

For Frontend Issues:

• Browser: All modern browsers

Steps to Reproduce

This is a general improvement task that requires a comprehensive review of the entire frontend application.

Expected Behavior

The application should:

1. Have consistently optimized components across all features
2. Maintain peak performance even with large datasets
3. Exhibit minimal load times and optimal resource usage
4. Have a uniform and intuitive code structure throughout

Actual Behavior

While the application is generally well-optimized, there may be:

1. Isolated instances of suboptimal code that were overlooked
2. Potential for more advanced optimization techniques in specific areas
3. Opportunities for further performance gains in data-intensive operations
4. Some inconsistencies in code structure or style across different parts of the application

Additional Context

• Our application already implements many best practices including component optimization, efficient state management, and code splitting.
• We're looking for more nuanced or advanced optimizations that might have been missed.
• Performance under high load (e.g., rendering thousands of bug reports) is of particular interest.
• We should consider both client-side and server-side optimizations in Next.js.

Possible Solution

1. Conduct a thorough code review focusing on:
   • Complex components that handle large datasets
   • Areas with intricate state management
   • Sections dealing with real-time updates or frequent API calls
2. Utilize advanced profiling tools to identify any remaining performance bottlenecks.
3. Explore implementing more specialized optimization techniques such as:
   • Custom memoization strategies for complex calculations
   • Advanced useMemo and useCallback implementations
   • Optimizing React Context usage if used extensively
4. Review and optimize database queries and API endpoints for data-heavy operations.
5. Implement performance monitoring to catch any regressions and identify areas for improvement over time.
6. Consider adopting newer React features or patterns that might offer performance benefits.
7. Evaluate the potential benefits of newer Next.js features for our specific use cases.

Remember, the goal is to identify areas where such optimizations can provide tangible benefits without over-engineering.