This article walks through using the WeChat Mini Program media‑check API to identify risky audio, video, and image content, outlines three typical scenarios, explains platform rate limits, and provides a complete Java example with step‑by‑step code analysis.
Alipay’s terminal team refactored the high‑traffic ‘My Tab’ feature into a single Kotlin Multiplatform codebase, tackling challenges like MVC‑to‑MVVM migration, frame‑rate drops, and cross‑platform stability, and sharing detailed design patterns, performance optimizations, and solutions for Android, iOS, and HarmonyOS.
This article details Alipay’s technical journey of refactoring the MyTab feature across Android, iOS, and HarmonyOS using Kotlin Multiplatform, covering architectural shifts, performance bottlenecks, stability fixes, and the resulting gains in code reuse and development efficiency.
The article explains how to leverage WeChat Mini Program's text security API to automatically filter sensitive, political, pornographic, gambling, and drug-related content in user-generated text, outlines typical use cases, rate limits, and provides a Java implementation with step-by-step code walkthrough.
From the Kotlin 2.0 language upgrade and the K2 compiler to a mature Jetpack multi‑platform library ecosystem, stable Compose for iOS and Web, and robust engineering tooling, Kotlin Multiplatform and Compose Multiplatform have evolved into a production‑grade, cross‑platform solution for mobile, desktop, and web by 2026.
The article explains a long‑standing Flutter bug where Text wrapped by Opacity or ShaderMask loses its descender glyphs on Android due to overly precise layer bounds calculated by Skia/FreeType, detailing how saveLayer, hinting, and glyph outline bounds interact, and offers practical workarounds to avoid the clipping.
This article demystifies Kotlin Multiplatform’s compiler architecture, explaining how shared Kotlin code is transformed into platform‑specific binaries via a common intermediate representation, the roles of Kotlin/JVM and Kotlin/Native backends, expect/actual contracts, memory model evolution, and practical build and integration steps for Android and iOS.
This article outlines a comprehensive checklist of mobile testing items—including functional, conflict, performance, signal, low‑battery, compatibility, stress, field, stability, regular, user‑experience, and hardware tests—to help engineers ensure thorough coverage of a phone's quality and reliability.
This guide walks you through the complete HarmonyOS mobile development workflow—from understanding the platform’s layered architecture and core ArkTS/ArkUI concepts, to setting up DevEco Studio, creating a Hello World app, managing UI, state, routing, data, and finally packaging and publishing the app.
This article explains why AI coding assistants often ignore team conventions in large Android projects, introduces the concept of Agent Skills as versioned, shared‑memory skill packs that enforce architecture, state‑management, and offline‑first practices, and provides a step‑by‑step guide to integrate the open‑source Awesome Android Agent Skills library.
This article delves into the hidden iOS OOM crashes, explains the Jetsam watchdog mechanism, the role of phys_footprint, compares industry solutions, and provides step‑by‑step implementations for monitoring, allocation tracking, and proactive memory‑management strategies to prevent silent terminations.
This article details a systematic set of optimizations—dual‑layer pre‑fetch, multi‑level caching, multi‑instance tab management, and white‑screen mitigation—that transformed an e‑commerce order list from sluggish and unstable to fast, smooth, and reliable for billions of users.
This article walks through a 30‑minute, step‑by‑step recreation of the popular "Dead Yet?" iOS app, showing how AI‑assisted coding, SwiftUI for the frontend, and Supabase’s serverless backend can turn a simple daily‑check‑in tool into a fully functional product with minimal infrastructure.
The article details the design of a cross‑platform C++ rendering engine built for a mobile reading app, explaining its three‑layer architecture, file‑format support, layout and caching mechanisms, security features, and how these technical choices delivered measurable improvements in page views, reading time, and conversion rates.
This article explains how Kotlin Multiplatform (KMP) can be integrated into iOS apps by covering local and remote integration methods, build and packaging steps, Swift/Objective‑C interop details, debugging, testing, and practical recommendations for when and how to adopt KMP in mobile development.
The article examines how the Vue ecosystem, which lacks a true native cross‑platform solution, can leverage the open‑source WebF runtime to run standard web projects—including Vue, React, and Svelte—directly inside Flutter on iOS, Android, and desktop, offering near‑native performance without rewriting code.
This article details the design and implementation of an AI‑driven smart inspection platform for a mobile app, covering background challenges, system architecture, core detection features—including layout, visual, consistency, and AI‑operation checks—platform configuration, result feedback, and the measurable improvements achieved.
This article explains why mobile‑side observability often falls into a black hole, outlines a four‑step solution that makes the mobile client the first hop of a distributed trace using standard protocols, and demonstrates the approach with a real‑world slow‑query debugging case on Alibaba Cloud RUM.
A solo developer recounts the surprising hurdles of creating a WeChat mini‑program—from domain registration and residence‑permit verification to platform account splits, framework choices between Taro and Uni‑app, and the unexpected smoothness of the final review.
The article explains Android Studio’s latest AI Agent, covering its three core concepts—Tools, Context, and Model Context Protocol—while showing practical examples of built‑in tools, knowledge‑base integration, Figma linking, and a full UI‑generation workflow that lets developers create, refine, and fix Jetpack Compose apps using natural language prompts.
