Exploring HarmonyOS ACE UI, React useEffect Pitfalls, Three.js 3D, and AI Basics

Deep Dive into HarmonyOS ACE UI Framework

The article begins with a historical overview of UI framework evolution, leading to an introduction of HarmonyOS’s ACE UI framework. It explains ACE’s overall architecture and walks through the rendering pipeline in detail, covering script parsing, pipeline construction, layout drawing, rasterization, and composition, making it a valuable resource for understanding the core mechanisms of HarmonyOS UI development.

Infinite Loop Types in React useEffect

React Hooks provide concise, reusable code and a functional programming experience, but they also hide pitfalls that can cause severe bugs, especially for beginners. The article enumerates five common infinite‑loop scenarios caused by misuse of useEffect, explains why they occur, and offers concrete solutions. It also extends the discussion to related hooks such as useCallback, useRef, and useMemo, providing a beginner‑friendly supplement to the official documentation.

Creating a 3D Room with Three.js

Inspired by Bruno Simon’s personal‑website project, the author demonstrates how to build a complete 3D room using Three.js. The walkthrough covers the entire workflow from 3D modeling to development, highlighting design considerations and practical tips for developers who want to explore full‑stack graphics programming.

Graph Neural Networks: A Gentle Introduction

Graphs represent a powerful, structured data type with distinct advantages and challenges compared to images and text. This section outlines key milestones in the development of neural‑network‑based graph processing models, explaining why graph neural networks (GNNs) have become essential tools for tackling a wide range of modern problems.

Fundamental Machine Learning Primer

The article offers a concise, practice‑oriented introduction to core machine‑learning principles. It covers essential concepts such as basic theory, a brief overview of convolutional image processing, and the rationale behind PyTorch’s official tutorials, enabling readers to quickly grasp the fundamentals needed for building effective ML solutions.