Frontend System Design
Practice designing complex UI systems the way senior engineers do at Google, Meta, and top product companies. Use a whiteboard, get AI evaluation, and see a rubric-based coaching report on your architecture decisions.
Design scalable frontend systems with AI evaluation and rubric-based feedback.
Senior engineers use a structured approach. Practice it until it's natural.
Ask about scale, target users, key features vs nice-to-haves, and constraints. This shows senior-level thinking before jumping to solutions.
Break the UI into components. Define component boundaries, data flow direction, and which components own state.
Decide what state goes where — local, lifted, or global. Define the data model, API contracts, and caching strategy.
Cover loading states, error states, empty states, virtualization for long lists, lazy loading, and network failure recovery.
Do you break the UI into well-defined, reusable components with clear ownership and a unidirectional data flow?
Do you choose the right level for state — local, lifted, or global? Do you avoid over-engineering with unnecessary stores?
Do you proactively identify bottlenecks — large lists, heavy renders, network waterfalls — and address them with concrete strategies?
Do you define clean interfaces between components and APIs? Do you handle caching, pagination, and optimistic updates?
Do you address keyboard navigation, ARIA roles, focus management, and screen reader compatibility without being prompted?
Can you compare alternatives (CSR vs SSR, Context vs Zustand, polling vs WebSockets) and justify your choices with clear reasoning?
Use a live whiteboard, answer open-ended design questions, and get a rubric-based coaching report on your component architecture, state management, and tradeoff reasoning.
Design scalable frontend systems with AI evaluation and rubric-based feedback.