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Design a fullstack app with frontend focus

Last updated: Mar 29, 2026

Quick Overview

Design a fullstack app with frontend focus evaluates requirements, scale assumptions, API/data design, architecture, trade-offs, failure modes, and rollout in a realistic interview setting. A strong answer states assumptions, handles edge cases, explains trade-offs, and shows how to validate the result clearly.

  • hard
  • OpenAI
  • System Design
  • Software Engineer

Design a fullstack app with frontend focus

Company: OpenAI

Role: Software Engineer

Category: System Design

Difficulty: hard

Interview Round: Technical Screen

Design a fullstack web application when the prompt explicitly emphasizes the frontend. Given a 2–3 page requirements document plus a demo (screenshots and an animation), outline: ( 1) Frontend architecture: framework choice, routing, component decomposition, state management, data fetching strategy (client/server/rendering model), error/loading states, accessibility, performance (code-splitting, memoization, virtualization), and testing. ( 2) API contract: define REST or GraphQL endpoints, request/response schemas, pagination, auth/session, and rate limiting; specify how the UI maps to these contracts. ( 3) Backend design: service boundaries, data model and storage, caching, background jobs, idempotency, observability, and scalability. ( 4) Deployment: CI/CD, environment config, canary/rollback. ( 5) Process: how you validate behavior against the demo, prioritize scope under time pressure, and collaborate on ambiguous requirements. Provide one critical user flow and describe the end-to-end sequence of UI actions and API calls.

Quick Answer: Design a fullstack app with frontend focus evaluates requirements, scale assumptions, API/data design, architecture, trade-offs, failure modes, and rollout in a realistic interview setting. A strong answer states assumptions, handles edge cases, explains trade-offs, and shows how to validate the result clearly.

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|Home/System Design/OpenAI

Design a fullstack app with frontend focus

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OpenAI
Jul 27, 2025, 12:00 AM
hardSoftware EngineerTechnical ScreenSystem Design
15
0

Design a fullstack app with frontend focus

Design a Full‑Stack Web Application (Frontend Emphasis)

Context

You are given a 2–3 page requirements document and a short demo (screenshots + an animation) of a multi‑page web app where authenticated users can:

  • Sign in/out.
  • Browse a paginated, filterable list of items (e.g., projects/tasks) and view details.
  • Create/edit items via a form with validation.
  • See basic activity updates (e.g., status changes) reflected promptly.

Assume web is the primary platform. SEO is nice‑to‑have for public pages; auth‑gated pages prioritize perceived performance and accessibility.

Task

Outline the design with emphasis on the frontend:

  1. Frontend architecture: framework choice, routing, component decomposition, state management, data fetching strategy (client/server/rendering model), error/loading states, accessibility, performance (code‑splitting, memoization, virtualization), and testing.
  2. API contract: define REST or GraphQL endpoints, request/response schemas, pagination, auth/session, and rate limiting; specify how the UI maps to these contracts.
  3. Backend design: service boundaries, data model and storage, caching, background jobs, idempotency, observability, and scalability.
  4. Deployment: CI/CD, environment config, canary/rollback.
  5. Process: how you validate behavior against the demo, prioritize scope under time pressure, and collaborate on ambiguous requirements. Provide one critical user flow and describe the end‑to‑end sequence of UI actions and API calls.

Constraints & Assumptions

  • Preserve the scope, facts, inputs, and requested outputs from the prompt above.
  • If the prompt leaves a detail unspecified, state a reasonable assumption before relying on it.
  • Keep the answer interview-ready: concise enough to present, but concrete enough to implement or evaluate.

Clarifying Questions to Ask Guidance

  • Clarify users, core use cases, read/write patterns, scale, latency, availability, and data retention.
  • State explicit assumptions before making sizing or architecture decisions.
  • Prioritize the functional path first, then address reliability, security, observability, and rollout.

What a Strong Answer Covers Guidance

  • A scoped requirements summary with concrete non-goals and success metrics.
  • API, data model, architecture, consistency, capacity, and operations.
  • Reasoned trade-offs among simple and scalable designs, including bottlenecks and failure modes.
  • A validation, monitoring, migration, and launch plan appropriate for the risk level.

Follow-up Questions Guidance

  • What breaks first at 10x traffic or data volume?
  • How would you degrade gracefully during dependency failures?
  • What metrics and alerts would prove the design is healthy after launch?

Submit Your Answer to Earn 20XP

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