Frontend System Design Essentials
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Frontend System Design Essentials

A practical guide to designing scalable, reliable, and maintainable frontend systems.

About the Book

Modern frontend applications look simple on the surface, but behind every smooth user experience is a system of data flows, rendering strategies, caching layers, pagination models, and real-time updates. This book breaks down those complexities and helps you understand how to design frontends that scale — not just in performance, but in clarity, maintainability, and user experience.

Frontend System Design Essentials introduces a structured approach for thinking about complex UI architecture through the CCDAO framework. You’ll learn how to analyse product requirements, model data effectively, design APIs that support real-world access patterns, and apply techniques like virtualization, optimistic updates, pagination, caching, and performance optimization.

Rather than presenting abstract theories, the book uses concrete case studies — typeahead search, feed lists, modals, and more — to show how system design decisions play out in practice. Each chapter builds on the last, helping you form a mental model you can use in interviews or in your day-to-day work as a senior engineer.

If you want to grow beyond “just building UI” and start designing frontends that hold up under real-world pressure, this book gives you the tools, patterns, and clarity to do it well.

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  • Categories

    • Computers and Programming
    • React
    • Web Development
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About the Author

Juntao Qiu
Juntao Qiu

Hi, I'm Juntao, and I help developers write better code through clear, practical guidance.

I am deeply committed to contributing to both the online and offline developer communities, sharing insights and knowledge gleaned from my experiences in various projects. Among my contributions are several publications focused on Web Development. Notably, my latest works include "React Anti-Patterns" (2024), "Test-Driven Development with React (2nd)" (2023) and "Maintainable React" (2022).

Additionally, I host a YouTube channel (@icodeit.juntao), where I delve into Clean Code practices and Refactoring techniques, aiming to assist developers in honing their coding skills.

Table of Contents

      • Preface
      • Reading and Writing Data
      • What We’ll Cover in This Book
      • Summary
    • Chapter 1 — From Components to Systems
      • A Simple Request
      • Part I — The Component
      • Part II — The System
      • Part III — Thinking in Systems
      • Summary — The Invisible Work
    • Chapter 2 — The CCDAO Framework: A Systematic Approach to Frontend System Design
      • Collect Information
      • Component Structure
      • Data Modeling
      • API Design
      • Optimization Strategies
      • Applying CCDAO in an Interview
      • Why It Matters Beyond Interviews
    • Chapter 3 — Applying CCDAO: Designing a Typeahead Search Box
      • 1. Collect Information
      • 2. Component Structure
      • 3. Data Modeling
      • 4. API Design
      • 5. Optimization Strategies
      • Closing
    • Chapter 4 — Applying CCDAO: Designing a Scalable Feed List
      • 1. Collect Information
      • 2. Component Structure
      • 3. Data Modeling
      • 4. API Design
      • 5. Optimization Strategies
      • Closing
    • Chapter 5 — Data Modeling: Understanding the Domain and the UI
      • Seeing the Domain Clearly
      • Modeling for How the UI Uses Data
      • From Domain to Design
    • Chapter 6 — Case Study: Sidebar Navigation and Feature Entitlements
      • Step 1 — The Starting Point: Logic in the UI
      • Step 2 — When the Rules Multiply
      • Step 3 — Moving Business Logic to the Backend
      • Step 4 — Where Frontend Logic Still Belongs
      • Step 5 — Tailoring APIs with GraphQL or a BFF
      • Lessons from the Sidebar
    • Chapter 7 — Setting Up the Project Environment
      • Why We Use a Starter Project
      • Prerequisites
      • Getting the Project Running
      • Useful Scripts
      • Mock API Setup (MSW)
      • Mock Endpoints Provided
      • Data Shapes You’ll Work With
      • Project Structure (High-Level)
      • Troubleshooting
      • What Comes Next
    • Chapter 8 — Normalisation
      • Introduction
      • The problem
      • The solution
      • Normalising
      • The context and API
      • Summary
    • Chapter 9 — How Backend Databases Inspire Frontend Normalization
      • A Familiar Pattern From Databases
      • How Databases Reconstruct Data
      • The Frontend Equivalent
      • Why This Matters
      • A Good Place to Pause

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