Frontend System Design Essentials: Code Splitting and Lazy Loading

Video Description

📘 MY BOOKS & COURSES 👉 React Data Fetching Patterns (50% off): https://leanpub.com/react-data-fetching-patterns/c/icodeit 👉 Maintainable React (Udemy Course): https://udemy.com/course/mastering-maintainable-react 👉 React Anti-Patterns (Amazon): https://www.amazon.com/dp/1805123971 👉 More Tutorials on Advanced Patterns: https://icodeit.com.au/tutorials/advanced-network-patterns-react 📩 STAY CONNECTED 🧠 Newsletter (system design & clean code): https://juntao.substack.com/ 🌐 Website & Blog: https://icodeit.com.au/ 🐦 Twitter / X: https://x.com/JuntaoQiu 📺 YouTube (subscribe): https://www.youtube.com/@icodeit.juntao --- In this episode of **Frontend System Design Essentials**, we're digging into **Code Splitting and Lazy Loading** — two powerful techniques that help you reduce bundle size, improve performance, and speed up your app's initial load. We’ll start by breaking down what a “bundle” actually is — how your code gets packaged, why it matters, and what happens when your app grows. Then we’ll explore: - How to split your code into smaller chunks using dynamic `import()` - The role of **tree shaking** and how bundlers remove unused code - Real-world examples, including a calculator demo that shows the difference between loading everything upfront vs. on demand - And how all of this ties into preload, prefetch, and data fetching — coming up in the next episode If you’ve ever seen your bundle size balloon, or noticed delays when opening a new feature in your app — this is the episode for you. By the end, you’ll know how to optimize your loading strategy, avoid unnecessary downloads, and create a smoother user experience. 💬 Question for You Are you already using code splitting in your app? What’s been the biggest benefit or challenge so far? Drop a comment — I’d love to hear how you’re applying it in your own projects. #reactjs #frontend #react #webdevelopment #programming #systemdesign