What You’ll Gain Inside the Course

Learn the patterns and trade-offs behind professional frontend architecture — not just how to code, but how to design.

  • Confidence to design scalable frontend systems instead of patching features together.

  • A clear framework for data modeling, fetching, mutation, and rendering strategies.

  • Hands-on practice with real-world patterns you’ll actually use at work.

  • A capstone project you can showcase in your portfolio or interviews.

  • The mindset and skills to think like a senior engineer and make trade-offs wisely.

Watch the introduction

Discover what you’ll learn in this course in just 2 minutes

Course curriculum

    1. Welcome & Course Roadmap [Video]

    2. Adopting the System Design Mindset

    3. Walking Through the Starter Project [Video]

    4. How to Learn Effectively in This Course

    1. Understanding Why Data Modeling Matters [Video]

    2. Normalizing Data: Nested vs Flat [Video]

    3. Choosing the Right State Store

    4. Evaluating Trade-offs in Store Design [Video]

    1. Applying Caching Strategies [Video]

    2. Implementing Pagination & Infinite Loading

    3. Optimizing Requests: Deduplication, Cancellation, Throttling [Video]

    4. Handling Failures and Recovery [Video]

    5. Fetching Data Efficiently

    1. Implementing Inline Editing & Batch Updates [Video]

    2. Adding Real-time Updates (WebSockets, SSE, Polling)

    3. Building Optimistic UI with Rollback [Video]

    4. Balancing Instant Feedback vs Safety

    1. Introducing Server-Side Rendering [Video]

    2. Comparing CSR, SSR, and SSG [Video]

    3. Exploring Streaming SSR & Island Architecture

    4. Using a Decision Framework for Rendering [Video]

    1. Enhancing Perceived Performance [Video]

    2. Applying Build-time Optimizations (Code Splitting, Tree-shaking) [Video]

    3. Using Runtime Optimizations - Preload & Prefetch [Video]

    4. Using Runtime Optimizations - Lazy Loading [Video]

    5. Measuring and Improve Performance [Video]

About this course

  • $119.00
  • 40 lessons
  • 0 hours of video content

Who This Course Is For

This course is designed for mid to senior frontend engineers who already build applications with React (or similar frameworks), and want to design scalable systems, not just features.. If you’ve ever struggled with messy state, unclear data flows, or performance bottlenecks, this course will give you the patterns and mental models to handle them with confidence.

Instructor

Developer / Author / Creator Juntao Qiu

Hi, I’m Juntao — a seasoned software developer focused on clean architecture, performance, and frontend system design. I’ve seen how messy state, poor data flows, and short-sighted rendering decisions can sink projects, and my mission is to help developers avoid those traps. Through my books Test-Driven Development with React (2021), Maintainable React (2022), and React Anti-Patterns (2024), as well as my YouTube channel I Code It, I share practical techniques for refactoring, testing, and building scalable frontend applications. My goal is simple: to help you think like a system designer, not just a feature builder, and grow into a confident senior-level engineer.

Think in Systems, Not Just Components

Most developers are trained to build features like search boxes or dashboards, but as apps grow these pieces don’t exist in isolation — they live inside a system of data models, fetching and mutation patterns, rendering strategies, and infrastructure. This course helps you connect those dots so you can design scalable, maintainable frontend systems instead of patching features together.
Thinking in system

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Level Up From Feature Builder to System Designer

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FAQ

  • What learning style can I expect?

    A mix of pre-recorded videos, coding assignments, quizzes, and written guides. Each module has hands-on exercises, not just theory.

  • How is this different from free YouTube content?

    My channel focuses on bite-sized tips. This course is a structured system that takes you from feature-building to system design — with projects, exercises, and a full learning path.

  • How will the course be delivered if I join the presale?

    This is a founding cohort, which means you’ll be among the first to experience the course as it’s created. The full curriculum is mapped out, and I’ll release new modules on a steady schedule — about one every 1–2 weeks. This pace keeps the learning manageable and gives me time to incorporate your feedback as we go.

  • What if I’m not sure I’ll like it?

    No worries — the course comes with a 100% money-back guarantee if you don’t find it valuable after the first two modules.

  • What kind of project will I build?

    evolves as you learn each concept — from data normalization to performance optimization. By the end, you’ll have a portfolio-ready project to showcase in interviews or performance reviews.

  • What’s the time commitment?

    About 8–10 hours of core material, plus extra time for coding challenges and the capstone project. You can learn at your own pace.