INTERVIEW_QUESTIONS
Frontend System Design Interview Questions for Senior Engineers (2026)
Top frontend system design interview questions with detailed answer frameworks covering component architecture, state management, rendering strategies, performance budgets, accessibility, micro-frontends, and design systems for senior and staff-level roles.
Why Frontend System Design Matters in Senior Engineering Interviews
Frontend system design has emerged as a distinct interview category because modern frontend applications have become genuinely complex distributed systems. A senior frontend engineer is no longer someone who writes clean CSS and knows a framework well. They are architects who make decisions about rendering pipelines, state synchronization across browser tabs, offline-first data strategies, and performance budgets that directly impact business metrics.
Companies like Google, Meta, Stripe, and Airbnb run dedicated frontend system design rounds because they have learned that backend system design skills do not directly translate. The constraints are different. You are designing for a runtime you do not control (the user's browser), a network you cannot predict (3G in Lagos versus fiber in San Francisco), and an execution environment that must remain responsive at 60 frames per second while managing complex application state.
Interviewers in these rounds are evaluating three things: your ability to decompose a large frontend application into manageable pieces, your understanding of the performance and UX trade-offs of different architectural decisions, and your experience with the failure modes that are unique to client-side systems. The questions below reflect the depth expected at senior and staff levels.
Use this guide alongside the system design interview guide and the frontend framework comparisons to build a comprehensive preparation strategy.
Question 1: How do you architect the component hierarchy for a large-scale frontend application?
What the interviewer is really asking: They want to see that you think about components as an organizational tool, not just a rendering mechanism. They are testing whether you can design a component architecture that scales with team size and feature complexity.
Answer framework:
Start by establishing the component classification system you use. A proven approach is three tiers: primitive components (buttons, inputs, typography), composite components (forms, cards, navigation bars), and feature components (checkout flow, user profile, dashboard). Each tier has different ownership, reusability, and testing expectations.
Explain the composition pattern. Feature components should be composed from primitive and composite components but should not be composed from other feature components. This prevents deep coupling between features and allows teams to work independently. When two features need to communicate, they do so through a shared state layer or event system, not by importing each other.
Discuss co-location. Components should own their styles, tests, types, and local state. When you need to change a component, everything you need to touch should be in the same directory. This is more important than organizing by file type (all styles in one folder, all tests in another).
Address the boundaries between "smart" and "presentational" components. Presentational components receive data through props and emit events. Smart components connect to state management, handle side effects, and pass data down. This separation makes testing dramatically simpler because presentational components can be tested with just props and event assertions.
Question 2: Compare SSR, CSR, and SSG. When would you choose each, and how do you handle hybrid approaches?
What the interviewer is really asking: They want to see that you understand rendering strategies as a spectrum rather than a binary choice, and that you can match the strategy to specific page requirements within the same application.
Answer framework:
Define each strategy clearly. Client-Side Rendering (CSR) sends a minimal HTML shell and renders everything in JavaScript. Server-Side Rendering (SSR) generates full HTML on the server for each request. Static Site Generation (SSG) generates HTML at build time. Each exists because no single strategy optimizes for all three of: time-to-first-byte, time-to-interactive, and content freshness.
CSR is appropriate for authenticated dashboards, admin panels, and highly interactive applications where SEO is not critical and initial load time is less important than runtime performance. The main drawbacks are poor SEO (despite improvements in crawler JavaScript execution), blank-page flash on initial load, and larger JavaScript bundles.
SSR is ideal for pages where SEO matters, content changes frequently, and the page must be personalized per user. Product pages on an e-commerce site, social media feeds, and search results pages are classic SSR candidates. The cost is server compute for every request and increased complexity around hydration.
SSG works best for content that changes infrequently: marketing pages, blog posts, documentation. Build-time rendering means zero server compute per request and the best possible TTFB. Incremental Static Regeneration (ISR) extends SSG by rebuilding specific pages in the background when the content changes.
Discuss hybrid approaches. Modern frameworks like Next.js and Astro allow per-route rendering strategy selection within a single application. Your marketing pages can be SSG, your product catalog can use ISR, your user dashboard can be CSR, and your search results can be SSR. The architecture decision is which strategy each route uses.
For framework-specific trade-offs, see Next.js vs Remix vs Astro.
Question 3: How do you approach state management in a complex frontend application? When do you reach for external state management versus local state?
What the interviewer is really asking: They want to hear a principled framework for deciding where state lives, not a preference for a specific library. They are testing whether you understand the consequences of over-centralizing or over-distributing state.
Answer framework:
Start with the state classification framework. Not all state is equal. Server state (data from APIs) has different characteristics than client state (UI state like modal visibility). Server state is shared, asynchronous, and has a source of truth on the backend. Client state is synchronous, local, and has its source of truth in the browser. Mixing these two categories in the same state management system is the root cause of most frontend state complexity.
For server state, use a dedicated data-fetching library (TanStack Query, SWR, Apollo Client). These libraries handle caching, deduplication, background refetching, and optimistic updates. They treat the server as the source of truth and the client as a cache. This eliminates entire categories of bugs where the UI shows stale data or makes duplicate requests.
For client state, start with local component state (useState, reactive properties). Lift state up to the nearest common ancestor only when two components need to share it. Reach for a global state management solution only when state genuinely needs to be accessed from many unrelated parts of the component tree. Examples of truly global state: current user identity, theme preference, feature flags, notification queue.
Discuss the specific failure modes of over-centralized state. When all state lives in a global store, every component subscribes to state it does not need, creating unnecessary re-renders. State updates become harder to trace because any component can dispatch actions. Testing becomes more complex because every component test needs a populated store.
Question 4: How do you implement and enforce a performance budget for a frontend application?
What the interviewer is really asking: They are testing whether you treat performance as a measurable engineering constraint or a vague aspiration. They want to hear specific metrics, tooling, and enforcement mechanisms.
Answer framework:
Define what a performance budget is. It is a set of quantitative limits on metrics that affect user experience. Typical budgets include: total JavaScript bundle size (e.g., under 200KB gzipped for the critical path), Largest Contentful Paint under 2.5 seconds on a mid-tier mobile device on 4G, Cumulative Layout Shift under 0.1, and Time to Interactive under 3.5 seconds.
Explain how you set budgets. Start with business metrics. If data shows that conversion drops 7% for every additional second of load time, that gives you a concrete cost for every kilobyte of JavaScript you add. Use competitor benchmarks and Core Web Vitals thresholds as starting points, then adjust based on your user demographics (device capabilities, network conditions in your target markets).
Discuss enforcement mechanisms. Budgets are worthless without automated enforcement. Integrate bundle size checks into CI/CD using tools like bundlesize, size-limit, or webpack's built-in performance hints. Block PRs that exceed the budget. Run Lighthouse CI on every deployment to catch regressions in render metrics. Set up real user monitoring (RUM) dashboards that track Core Web Vitals from actual user sessions.
Cover the optimization techniques you reach for when approaching budget limits: code splitting (route-based and component-based), tree shaking, lazy loading below-the-fold content, image optimization (responsive images, WebP/AVIF formats, lazy loading), font subsetting, and replacing heavy dependencies with lighter alternatives.
Question 5: How do you design a frontend application for accessibility? What does accessibility look like as an architectural concern rather than a checklist?
What the interviewer is really asking: They want to see that you treat accessibility as a structural property of the application rather than something you bolt on before launch. They are testing whether you understand how architectural decisions (component API design, routing, state management) affect accessibility.
Answer framework:
Start with the architectural implications. Accessibility is not primarily a CSS or ARIA concern. It starts with semantic HTML. When your component library uses <div> and <span> for everything with ARIA roles bolted on, you are fighting the platform instead of leveraging it. A <button> element gives you keyboard interaction, focus management, and screen reader announcements for free. A <div role="button" tabindex="0" onKeyDown={handleEnterAndSpace}> is a fragile recreation of built-in browser behavior.
Discuss focus management as an architectural concern. When a modal opens, focus must move into it and be trapped within it. When it closes, focus must return to the element that triggered it. When a route changes in a single-page application, focus must move to the new content and the page title must update. These behaviors must be built into the routing and modal systems, not handled ad-hoc in each feature.
Cover live regions for dynamic content. When content updates without a page reload (notifications, form validation errors, live search results), screen reader users need to be informed. This requires a global announcement system that components can use to communicate changes.
Address testing. Automated accessibility testing catches approximately 30% of issues. Tools like axe-core in CI can catch missing alt text, color contrast failures, and missing form labels. But they cannot catch focus management issues, logical reading order problems, or whether the ARIA labels actually make sense. Manual testing with screen readers (VoiceOver, NVDA) and keyboard-only navigation must be part of the QA process.
For more on building accessible interfaces, see accessibility fundamentals and ARIA patterns.
Question 6: How do you design a frontend application to work reliably on slow or intermittent network connections?
What the interviewer is really asking: They want to see that you design for the real-world network conditions your users experience, not the fiber connection in your office. They are testing your understanding of offline-first patterns, optimistic updates, and graceful degradation.
Answer framework:
Start by establishing that network reliability is a spectrum, not a binary. Users experience fast connections, slow connections, intermittent connections, and complete offline states. Your application should handle all four gracefully, not just the first one.
Discuss optimistic updates. For common actions (liking a post, adding an item to a cart, toggling a setting), update the UI immediately and sync with the server in the background. If the server request fails, roll back the UI change and notify the user. This makes the application feel instant on any connection speed.
Cover offline-first architecture. Service workers can cache application assets and API responses so the application loads and displays cached data even without a network connection. IndexedDB stores structured data that persists across sessions. When the connection returns, a sync queue processes pending mutations in order.
Address conflict resolution. When a user makes changes offline and another user makes conflicting changes online, you need a strategy for resolving conflicts. Last-write-wins is the simplest but can lose data. Operational transformation and CRDTs provide mathematically sound conflict resolution for collaborative applications. For most applications, a practical approach is to detect conflicts and present them to the user for manual resolution.
Question 7: How would you architect a micro-frontend system? What are the trade-offs compared to a monolithic frontend?
What the interviewer is really asking: They want to see that you understand micro-frontends as an organizational scaling solution, not a technical one. They are testing whether you can articulate when the complexity is justified and how you handle the integration challenges.
Answer framework:
Start with when micro-frontends are justified. The primary driver is organizational: when multiple teams need to independently develop, test, and deploy different parts of a large frontend application. If a single team owns the entire frontend, micro-frontends add complexity without benefit. The threshold is typically 3-5 teams working on the same application with release cadence conflicts.
Compare integration approaches. Build-time integration (npm packages) is the simplest but couples deployment. Teams must coordinate releases, which defeats the purpose. Runtime integration via Module Federation (webpack/Vite), iframe embedding, or Web Components allows independent deployment. Module Federation is currently the most mature solution for React/Vue applications because it shares dependencies and provides type safety across boundaries.
Discuss the shared layer. Micro-frontends need a thin shared layer for authentication, routing, global navigation, and design system components. This layer must be versioned carefully because it is a dependency of every micro-frontend. Keep it as small as possible. Every addition to the shared layer is a coupling point that reduces team autonomy.
Address the performance implications. Micro-frontends can increase bundle size if each micro-frontend bundles its own copy of React, a design system, and utility libraries. Shared dependency management through Module Federation's shared scope or import maps is essential. Without it, your users download React five times.
See also: micro-frontends architecture and monorepo vs polyrepo.
Question 8: How do you design and maintain a design system that scales across multiple teams and applications?
What the interviewer is really asking: They are testing whether you understand a design system as an engineering product, not a component library. They want to hear about versioning, documentation, adoption strategy, and governance.
Answer framework:
Define what a design system includes beyond components. A complete design system encompasses design tokens (colors, spacing, typography), primitive components, composite patterns, layout utilities, iconography, and documentation. The documentation is as important as the code because a design system that is difficult to use will not be adopted.
Discuss the token architecture. Design tokens are the foundation. They define the visual language in a format-agnostic way (JSON or YAML) and are transformed into platform-specific formats (CSS custom properties, Tailwind config, iOS Swift, Android XML). Changes to tokens propagate to all platforms automatically. This ensures visual consistency across web, mobile, and email.
Cover versioning and breaking changes. A design system is a dependency consumed by multiple teams. Breaking changes (removing a prop, changing component behavior, renaming a token) must follow semantic versioning and include migration guides. Use codemods to automate migrations when possible. Provide a deprecation period where old APIs still work but emit console warnings.
Address contribution and governance. A design system maintained by a single team becomes a bottleneck. Establish a contribution process where product teams can propose and contribute components. Use an RFC process for significant additions. Have design system office hours for questions and pair programming sessions to onboard new contributors.
Question 9: How do you handle complex forms in a frontend application? What patterns do you use for validation, state, and error handling?
What the interviewer is really asking: Forms are where frontend complexity concentrates. They are testing whether you can manage the interaction between validation logic, asynchronous submission, error display, field dependencies, and accessibility.
Answer framework:
Start with the validation architecture. Validation should be defined as a schema that is shared between client and server, not duplicated. Libraries like Zod or Yup allow you to define validation rules once and use them for both client-side validation and API request validation. This eliminates the category of bugs where client and server validation diverge.
Discuss field-level versus form-level validation. Field-level validation runs when a specific field changes, giving immediate feedback. Form-level validation runs on submission and catches cross-field rules (password confirmation must match, end date must be after start date). Both are needed. Run field validation on blur rather than on change to avoid showing errors while the user is still typing.
Cover asynchronous validation. Some validations require a server round-trip (checking if a username is available, validating an address). These must be debounced to avoid excessive API calls, provide loading indicators, and handle the case where the user has already moved to another field by the time the response arrives.
Address multi-step forms. Long forms should be broken into steps with independent validation per step. The form state should be persisted (in memory, session storage, or the URL) so the user does not lose progress on navigation or accidental page refresh.
Question 10: How do you approach frontend testing? What is your testing strategy for a large application?
What the interviewer is really asking: They are testing whether you have a practical testing philosophy that balances coverage with development velocity, not whether you can recite the testing pyramid.
Answer framework:
Start with the testing trophy (or diamond) rather than the traditional testing pyramid. For frontend applications, the most valuable tests are integration tests that render a component with its immediate dependencies and verify behavior from the user's perspective. Unit tests for pure utility functions and end-to-end tests for critical user flows complete the strategy.
Explain why frontend unit tests have diminishing returns. Testing that a component renders a button with the correct label is a test that mirrors the implementation. When you refactor the component, the test breaks even though the behavior has not changed. Instead, test behaviors: "when the user clicks Submit with valid data, the form submits and shows a success message."
Discuss the testing library philosophy. Testing Library (React Testing Library, Vue Testing Library) encourages testing from the user's perspective by querying elements the way users and accessibility tools find them: by role, by label text, by placeholder text. Avoid testing implementation details like component state, internal method calls, or CSS class names.
Cover end-to-end testing scope. E2E tests (Playwright, Cypress) are expensive to run and maintain, so reserve them for critical user flows: signup, login, checkout, core feature usage. Run them against a staging environment with realistic data. Use them to catch integration issues between frontend and backend that component tests cannot detect.
Question 11: How do you handle real-time data updates in a frontend application? Compare WebSockets, SSE, and polling.
What the interviewer is really asking: They want to see that you can match the real-time technology to the specific requirements and that you understand the connection management, reconnection, and state synchronization challenges.
Answer framework:
Compare the three approaches based on specific criteria. Polling is the simplest to implement and works everywhere, but wastes bandwidth and introduces latency equal to half the polling interval on average. Short polling (every few seconds) is acceptable for dashboards where a few seconds of delay is fine. Long polling holds the connection open until new data is available, reducing latency but increasing server connection count.
Server-Sent Events (SSE) provide a unidirectional stream from server to client over HTTP. They are simpler than WebSockets, automatically reconnect, work through HTTP proxies and load balancers without special configuration, and can be served by any HTTP server. Use SSE when data flows only from server to client: live notifications, stock tickers, build status updates.
WebSockets provide bidirectional communication and are necessary when the client sends frequent messages to the server: chat applications, collaborative editing, multiplayer games. They require special server infrastructure (sticky sessions or a dedicated WebSocket server), do not automatically reconnect, and can be problematic with some corporate proxies.
Discuss connection management. Regardless of the technology, you need reconnection logic with exponential backoff, state reconciliation after reconnection (request missed events or refresh full state), and connection health monitoring (heartbeats to detect zombie connections).
See WebSockets vs SSE vs polling for a detailed comparison.
Question 12: How do you handle internationalization (i18n) and localization (l10n) in a frontend application at scale?
What the interviewer is really asking: They want to see that you understand i18n as a technical architecture problem that goes beyond string replacement. They are testing whether you know about text expansion, RTL layouts, date/number formatting, and the translation workflow.
Answer framework:
Start by separating the concerns. Internationalization (i18n) is the engineering work to make the application locale-aware. Localization (l10n) is the content work of translating and adapting for specific locales. The engineering architecture must support the content workflow without requiring developer involvement for each new locale.
Discuss the string extraction pipeline. Strings should be marked in code using a library (react-intl, i18next, vue-i18n) and extracted automatically into message catalogs. Translators work with these catalogs, not with source code. The build process bundles only the strings needed for the user's locale, not all locales.
Cover the technical challenges beyond strings. Text expansion (German text is 30% longer than English, which breaks fixed-width layouts). RTL layout (Arabic and Hebrew require mirrored layouts, not just text direction). Pluralization rules (English has 2 forms, Arabic has 6, Chinese has 1). Date and number formatting (month/day/year versus day/month/year, comma versus period as decimal separator). Currency display (symbol position and spacing varies by locale).
Address performance. Loading all translation strings for all locales on initial page load defeats the purpose of code splitting. Load translations per route and per locale. Use dynamic imports to load the translation bundle for the user's locale at runtime.
Question 13: How do you design a frontend monitoring and error tracking system? What metrics do you track and how do you prioritize issues?
What the interviewer is really asking: They are testing whether you have operated a frontend application in production and dealt with the unique challenges of client-side error tracking: browser diversity, network conditions, user behavior, and the volume of noise.
Answer framework:
Define the categories of frontend errors. JavaScript exceptions (unhandled promise rejections, type errors, reference errors), network errors (API failures, timeout, CORS issues), rendering errors (React error boundaries, hydration mismatches), and performance regressions (Core Web Vitals degradation, long tasks blocking the main thread).
Discuss error grouping and prioritization. Raw error volume is misleading. A single user with a broken browser extension can generate thousands of errors. Group errors by stack trace signature, then prioritize by unique user impact and business flow impact. An error that affects 0.1% of users but blocks checkout is higher priority than an error affecting 5% of users on a help page.
Cover source maps. Production JavaScript is minified and bundled, making stack traces unreadable. Source maps must be uploaded to your error tracking service (Sentry, Datadog, Bugsnag) on each deployment so that errors can be mapped back to original source code. Source maps should not be served to users because they expose source code.
Address the noise problem. Browser extensions inject code that throws errors attributed to your application. Bot traffic triggers errors in code paths designed for human interaction. Old cached versions of your application generate errors that have already been fixed. Implement filtering for extension-injected scripts, bot user agents, and old application versions.
For more on frontend observability, see frontend performance monitoring and observability patterns.
Question 14: How do you handle authentication flows and secure token management in a single-page application?
What the interviewer is really asking: They are testing whether you understand the security implications of storing tokens in the browser and whether you know the attacks (XSS, CSRF, token theft) that frontend authentication must defend against.
Answer framework:
Start by explaining the fundamental constraint. The browser is a hostile environment for storing secrets. Any JavaScript running on your page, including injected scripts from XSS attacks or compromised third-party dependencies, can access anything stored in JavaScript-accessible storage (localStorage, sessionStorage, JavaScript variables).
Compare token storage options. HttpOnly cookies are the most secure for web applications because JavaScript cannot read them, eliminating token theft via XSS. They require CSRF protection (SameSite attribute plus a CSRF token for older browsers), but this is a well-understood problem. localStorage is vulnerable to XSS but simpler to implement for cross-domain APIs. In-memory storage (JavaScript variable) is the most secure against persistent attacks but tokens are lost on page refresh.
Discuss the recommended flow for SPAs. Use the Authorization Code flow with PKCE (Proof Key for Code Exchange) for OAuth. The access token is stored in memory with a short expiration (5-15 minutes). A refresh token is stored in an HttpOnly, Secure, SameSite cookie. When the access token expires, the application silently refreshes using the cookie. On page load, the application makes a silent refresh request to obtain a new access token.
Address token refresh race conditions. When multiple API requests discover the access token has expired simultaneously, you must ensure only one refresh request is sent and the others wait for the new token. Use a promise-based lock pattern.
Question 15: How do you approach migrating a large legacy frontend application to a modern architecture?
What the interviewer is really asking: They are testing your ability to manage technical risk in a large codebase. They want to hear about incremental migration strategies, not a big-bang rewrite. They are evaluating your judgment about when migration is worth the investment.
Answer framework:
Start with the decision framework. Migration is not always the right answer. Quantify the cost of the current architecture: developer productivity loss, hiring difficulty (nobody wants to work on jQuery in 2026), security vulnerabilities in unmaintained dependencies, and inability to implement required features. Compare this against the cost and risk of migration. Sometimes the answer is "maintain the legacy system and build new features in a new system alongside it."
Describe the strangler fig pattern for frontend migration. Rather than rewriting everything at once, you build new features in the new framework and gradually replace old features. The old and new systems coexist, with a routing layer that directs users to the appropriate system. Over time, the new system grows and the old system shrinks until it can be decommissioned.
Discuss the technical integration strategies. For React migrating from a legacy system, you can mount React components inside the legacy DOM using createRoot. For migrating between modern frameworks, Module Federation allows the old and new frameworks to share a page. For migrating from server-rendered pages to an SPA, you can use turbo-frames or similar techniques to progressively enhance individual page sections.
Address the human factors. Migration fatigue is real. If the migration takes longer than 6 months, team motivation drops and shortcuts appear. Break the migration into phases with visible milestones. Celebrate when legacy pages are decommissioned. Maintain a public dashboard showing migration progress.
How to Practice
Frontend system design interviews require a different preparation approach than backend system design or algorithm interviews. Here is a structured approach:
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Design systems on paper before you code. When you encounter a complex frontend feature at work or in a side project, spend 30 minutes sketching the component hierarchy, state management approach, and data flow before writing any code. This builds the architectural thinking muscle that interviews test.
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Study open-source design systems. Radix UI, Chakra UI, and Shopify's Polaris are well-architected component libraries. Read their source code to understand how they handle accessibility, composition, and API design. The patterns you learn will directly apply to interview answers.
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Profile real applications. Open Chrome DevTools on popular web applications (Gmail, Figma, Notion) and analyze their performance characteristics. How do they handle initial load? How do they manage state? What rendering strategy do they use? This gives you concrete examples to reference in interviews.
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Practice explaining trade-offs out loud. Frontend system design interviews are conversations. The interviewer wants to hear you think through options, not just state conclusions. Practice with a peer or use algoroq's interview practice modules to get feedback on your communication.
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Build a mental library of patterns. For each major frontend concern (state management, routing, data fetching, auth, real-time updates), have a default approach and two alternatives you can discuss. Know the trade-offs between each. Review the system design interview guide for the broader framework.
Common Mistakes to Avoid
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Describing only the happy path. Interviewers specifically look for how you handle errors, loading states, empty states, and edge cases. If your component design only accounts for the case where data loads successfully on a fast connection, you are missing half the design.
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Ignoring accessibility entirely. Senior frontend engineers are expected to treat accessibility as a core concern, not an optional enhancement. If your component design does not mention keyboard navigation, screen reader support, or focus management, the interviewer will notice. Review accessibility patterns as part of your preparation.
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Over-engineering state management. Not every application needs Redux, Zustand, or a global state management library. If your first instinct is to reach for a state management library for a feature that could use local component state and prop drilling through two levels, you are adding unnecessary complexity. Start simple and justify complexity.
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Treating performance as an afterthought. If the interviewer asks about performance and you respond with "we can optimize later," you are signaling that you do not consider performance a design-time concern. Performance budgets, code splitting strategy, and rendering approach should be part of the initial architecture, not retrofit.
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Focusing on framework-specific details instead of principles. An answer that relies on React-specific hooks or Vue-specific reactivity without explaining the underlying principle is brittle. Interviewers want to hear that you understand why component composition works, not just that you know how to use
useEffect. Framework syntax is the implementation; the architecture is what they are evaluating. -
Ignoring the build and deployment pipeline. A frontend architecture is incomplete without discussing how it gets to users. Bundle splitting strategy, CDN configuration, cache invalidation, and deployment rollback all affect the system design. If you design a micro-frontend architecture but cannot explain how the micro-frontends are independently deployed, the design has a critical gap.
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