Interview Checklist & Style Guide

What is this Frontend System Design Guide About?

The Frontend System Design guide attempts to cover the various factors to be considered while architecting a complex large-scale frontend application from scratch. This checklist acts as a reference for frontend system design, aimed at both individual contributors and system architects. The guide is generic and not biased towards any library or framework.

Key Components of the Guide

• Engineering Design
• High Level Design
• Low Level Design

Engineering Design

• Team size
• User base
• Knowledge base
• Compliance and Governance
• User/Client expectations
• Open Source vs Proprietary
• Documentation and PRD
• Future Roadmaps

High Level Design

• Platform identification
• Single Page Application (SPA) vs Multi-Page Application (MPA)
• Server-Side Rendering (SSR), Static Site Generation (SSG), Client-Side Rendering (CSR)
• Tech stack
• Search Engine Optimization (SEO)
• Continuous Integration/Continuous Deployment (CICD)
• User Experience
• A/B testing
• MVP planning
• Server Side Architecture
• Security
• State Management
• Internationalization
• E2E testing
• Tools Integration
• Authentication & Authorization
• Quality Assurance & Control
• User role management

Low Level Design

• Code/Folder architecture
• Desktop/Mobile first approach
• System breakdown
• Component Design
• Form development
• Storage management
• API Design
• Instrumentation
• Design system
• Routing management
• CSS optimizations
• Lazy loading of modules
• Accessibility
• Image optimizations
• Pagination, Debouncing, Throttling
• Performance: FCP, LCP, TTI, CLS
• Versioning
• Unit testing

Troubleshooting Ideas

If you encounter issues during the implementation of the concepts outlined in this guide, consider the following troubleshooting steps:

• Verify your project structure aligns with the defined folder architecture.
• Check for proper API connections to ensure your frontend can communicate with the backend seamlessly.
• Utilize tools like Lighthouse to identify performance bottlenecks in your application.
• Review your security configurations to mitigate risks such as XSS and CSRF.
• Consult community forums or networks for specific advice on errors you might encounter.

For more insights, updates, or to collaborate on AI development projects, stay connected with fxis.ai.

Conclusion

At fxis.ai, we believe that such advancements are crucial for the future of AI, as they enable more comprehensive and effective solutions. Our team is continually exploring new methodologies to push the envelope in artificial intelligence, ensuring that our clients benefit from the latest technological innovations.