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.
This guide explains why Android performance matters to users, developers, and business, then walks through Google’s diagnostic tools, R8 optimization steps, continuous monitoring, and a Reddit case study that turned a two‑week effort into a one‑star rating boost.
Performance is critical for mobile apps; this guide outlines how to evaluate device, server/API, and network performance, provides troubleshooting steps for common issues, recommends Android and iOS testing tools, discusses testing challenges, and presents a comprehensive pre‑release testing checklist.
This article explains the layered iOS exception architecture, common crash causes, and a comprehensive monitoring solution that captures Mach exceptions, Unix signals, runtime NSException and C++ exceptions, and application‑level issues like deadlocks and zombie objects, with detailed implementation steps and code examples.
This article explains why iOS apps crash after release, outlines common coding mistakes that cause crashes, introduces a layered iOS exception architecture, and provides detailed implementation steps for Mach exception, Unix signal, runtime, and application‑level monitoring using KSCrash with code samples and diagrams.
A teenage developer created the open‑source LibrePods project, which unlocks AirPods’ noise‑cancellation, ear‑detect, gesture controls and more on Android devices, but it requires Android 13+, root access and the Xposed (LSPosed) framework, making it a niche yet powerful solution for enthusiasts.
This article explains how to evaluate and improve Apache Weex applications by using built‑in performance monitors, defining essential metrics such as first‑screen render time and interaction latency, and applying ten practical testing and optimization techniques for both iOS and Android platforms.
This article explains how the Model Context Protocol (MCP) enables controllable, auditable automation of Android development tasks—bridging large language models with local tools like Gradle, ADB, and emulators—to improve efficiency, safety, and workflow integration.
