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weeebox/mobile-system-design

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TLDR

A structured interview preparation guide for mobile system design questions on iOS and Android, covering how to scope tasks, gather requirements, ask clarifying questions, and design end-to-end app architectures.

Mindmap

mindmap
  root((mobile design))
    Framework
      Scope definition
      Requirements
      Architecture diagram
    Requirements
      Functional
      Non-functional
      Out of scope
    App Components
      API service
      Local data store
      Image loading
      Navigation
    Interview Topics
      Offline support
      Performance
      Scalability
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Code map

Detail Auto

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Things people build with this

USE CASE 1

Use the step-by-step framework to practice answering interview questions like 'design a social media feed' for iOS or Android roles.

USE CASE 2

Learn which clarifying questions signal strong system thinking to interviewers, and understand the reasoning behind each one.

USE CASE 3

Study the example architecture diagram showing how API service, local data store, repository, image loader, and navigation fit together in a typical mobile app.

Getting it running

Difficulty · easy Time to first run · 5min
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In plain English

This repository is a guide for people preparing for mobile system design interviews at tech companies, covering both iOS and Android roles. A system design interview typically asks you to design a feature or application from scratch, like a social media feed or a file-sharing tool, within 45 to 60 minutes. The guide explains how to approach that process in a structured way. The core framework starts with defining what the task actually is. The interviewer might ask you to design just the mobile app, or both the app and the server API, or the full stack including backend infrastructure. The guide walks through how to clarify the scope early, then how to gather requirements by separating what the feature must do (functional requirements), what qualities it needs to have (non-functional requirements like offline support or battery efficiency), and what to leave out. A significant portion of the guide covers the kinds of clarifying questions worth asking: whether the app needs to support older devices or slower networks, how many users are expected, what the team size looks like, and what performance targets matter. Each question is explained with the reasoning behind it, so you understand why it signals good thinking to an interviewer rather than just memorizing a list. The guide also walks through creating a high-level architecture diagram, showing how components like an API service, a local data store, a repository layer, image loading, navigation coordination, and dependency injection all fit together in a typical mobile app. It explains the role of each piece in plain terms. Beyond the main framework, the repository includes deeper dives into specific topics such as image loading strategies, mobile navigation patterns, and other technical areas that commonly come up in interviews. The guide explicitly notes it is not affiliated with any specific company and does not guarantee interview success, but it provides a repeatable structure for thinking through mobile design problems clearly. The full README is longer than what was shown.

Copy-paste prompts

Prompt 1
Using the mobile system design framework from this guide, walk me through designing an Instagram-style photo feed for an iOS app, cover data flow, caching, pagination, and offline support.
Prompt 2
What are the most important clarifying questions to ask at the start of a mobile system design interview, and what does each one reveal about the problem scope?
Prompt 3
Design a file sharing feature for a mobile app that works offline and syncs when the connection is restored, include the local data model, API contract, and sync conflict strategy.
Prompt 4
Explain the role of a repository layer in a mobile app architecture and how it differs from a data source or API client.
Prompt 5
How would you design image loading for a mobile list view with 1000 items to avoid lag or excessive memory use, cover caching, cancellation, and placeholder handling?
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