Front-end Engineering Lab

Front-end Engineering Lab

Welcome to the Lab

Code Splitting Strategies

Core Optimizations

Data Fetching Strategies

Advanced Error Handling

Lists & Performance

Deep Object Memoization FLIP Animations Infinite Scroll Observer List Animation Performance Web Worker Data Sorting Windowing / Virtualization

Real-Time Architecture

Security Patterns

State and Logic

Visual Performance

Patterns

Lists & Performance

Handling massive amounts of data in the UI efficiently.

Why this section exists?

Rendering 10,000 items at once will freeze any browser. This section is about managing DOM scale.

The Core Problem

As data grows, the number of DOM elements increases, making scrolling laggy and consuming massive amounts of RAM.

Engineering Patterns:

Virtualization: Only rendering the items currently visible on the screen.
Event Management: Using Debouncing and Throttling to handle rapid user actions.
Off-main-thread processing: Sorting and filtering large arrays without freezing the UI.

Impact: Allows the application to scale infinitely without losing performance.

Lazy Loading Translations

Optimize bundle size by code splitting translation files

Deep Object Memoization

Implement deep equality checks to prevent unnecessary re-renders when dealing with complex object structures.

On this page

Why this section exists?The Core Problem Engineering Patterns: