Aotu Lab, founded in October 2015, is a front-end engineering team serving multi-platform products. The articles in this public account are intended to share and discuss technology, reflecting only the personal views of Aotu Lab members and not the official stance of JD.com Technology.
This article explores VSCode’s modular architecture for building large‑scale IDEs, dives into micro‑kernel plugin patterns with Vue and Xigua Player, showcases UI animation trends, introduces ARCore Depth API, highlights Flutter’s desktop support, and reviews Node.js monitoring and load‑testing tools.
This guide explains how to calculate the exact start and end points of an angled linear gradient that fills text on an HTML canvas, covering the necessary geometry, trigonometric formulas, step‑by‑step derivations, and practical code snippets for accurate rendering.
This guide explains how Taro developers can instantly enable eight automatic, zero‑code data‑tracking events and custom analytics in WeChat mini‑programs by integrating Tencent YouShu via a one‑click template, CLI commands, and SDK configuration.
Taro 3 introduces full cross‑framework support for React, Nerv, Vue 2/3 and jQuery‑like APIs, expands to major mini‑program platforms and H5, adds an open plugin system, prerendering, faster builds, CSS‑in‑JS via linaria, virtual list components and a seamless WeChat‑to‑React/Vue conversion tool.
This article explains how to apply middle‑school physics concepts to implement realistic inertia (momentum‑based) scrolling and bounce effects in web front‑ends, compares popular UI libraries, derives the necessary formulas, chooses suitable acceleration constants, and provides a complete Vue.js code example.
The weekly digest highlights key findings from the 2020 Stack Overflow survey, performance tips for Google Fonts, an early look at JavaScript Records and Tuples, Svelte‑based Web Component creation, AI‑driven animation research, AR search innovations, and the major improvements introduced in Electron 9.0.0.
The Taro Next Beta and RC releases introduce H5 compilation, seamless conversion of WeChat mini‑programs to React or Vue, a robust HTML rendering API, CSS‑in‑JS via Linaria, a built‑in VirtualList component, plugin support, and an RFC‑driven path toward a stable version.
This guide explains the background of JD mini‑programs, introduces the Taro multi‑platform framework, and provides detailed installation, project creation, build commands, debugging steps, and an example conversion to help developers efficiently create JD mini‑programs.
This article evaluates Taro’s conversion to JD mini‑programs by comparing package size, long‑list rendering benchmarks, and development experience against native JD and WeChat mini‑programs, revealing where Taro excels, where it lags, and the optimizations it provides.
This article explains how the Taro IDE team built a cross‑platform desktop client using Electron, covering its architecture, development workflow with electron‑react‑typescript, performance and size optimizations, and future plans for modular web‑based capabilities.
