This guide walks through installing Termux, Ubuntu, and OpenClaw on a Xiaomi Android phone, configuring developer options, connecting via ADB, installing the burner‑phone skill, capturing screenshots, and attempting click actions, while highlighting limitations when click debugging is unavailable.
An in‑depth analysis reveals that the Bean Bag AI phone avoids Android’s Accessibility Service by directly reading GPU buffers and injecting input events via hidden system APIs, runs a headless virtual screen, streams low‑resolution frames to the cloud for inference, and raises significant privacy and security concerns.
This article explains how a cloud testing platform leverages WebRTC to achieve sub‑200 ms bidirectional video transmission, enabling ultra‑low‑latency screen casting and remote camera feed replacement for mobile devices, and details the architecture, optimizations, performance gains, and future enhancements.
Zhihu partnered with Huawei to develop and open‑source an Appium driver for HarmonyOS, enabling unified, efficient automated testing across iOS, Android, and HarmonyOS and energizing the open‑source HarmonyOS ecosystem for developers and enterprises.
This article presents ten practical Python automation scripts—covering HTML parsing, QR code scanning, screenshots, audiobooks, PDF editing, StackOverflow queries, mobile control, temperature monitoring, Instagram uploads, and video watermarking—to help you streamline daily repetitive tasks efficiently.
This guide walks through setting up Appium with the UiAutomator2 driver, verifying the environment, writing a Python script that connects to the Appium server, using weditor or uiautomatorviewer to inspect Android UI elements, and applying ID or XPath locators to automate clicks in the Zepp app.
This article demonstrates how to set up a Python environment with Appium, install necessary tools, connect an Android device, and implement a script that automatically reads incoming QQ messages and replies with predefined responses, providing step‑by‑step instructions and sample code for mobile automation.
This guide walks you through installing Appium Desktop, configuring and launching the server, creating a simple Java test for the Android calculator app, exploring multiple element‑locating strategies (ID, class name, XPath, Accessibility ID, UIAutomator), and using the desktop tool’s element inspector and recording features to generate test scripts.
The QAMate project demonstrates how generative AI can automatically generate, record, and maintain mobile UI, API, and requirement‑based test cases, dramatically reducing manual effort, improving stability, and creating a data‑driven feedback loop that continuously upgrades testing quality.
The Mobile-Agent paper presents a vision‑only, autonomous multi‑modal AI system that can interpret user commands, locate UI elements on a smartphone screen, and execute complex tasks such as browsing, commenting, and content creation through a defined operation space, self‑planning, and self‑reflection mechanisms, achieving high success rates across diverse Chinese and English scenarios.
Poco2 is an open-source Python-based mobile automation testing framework that simplifies UI interaction and validation for Android/iOS apps, demonstrated through a complete e-commerce purchase flow test script covering login, browsing, cart, payment, return, refund, and logout.
This article describes how a mobile development team adopted the ATX automation framework with Python, employing Page Object Model, data‑driven and keyword‑driven techniques to replace manual regression testing, integrate firmware interaction, and streamline test execution and reporting.
This article explains the origins and concepts of cloud control and group control, compares private and public traffic, describes viral marketing mechanisms, introduces hook technology and popular frameworks, and discusses operational best practices and future challenges for mobile automation.
This article presents the design, technical selection, and system architecture of an automated IM entry inspection tool built with AutoJs for Android, detailing script stability strategies, dynamic script distribution, JSON and image comparison methods, and the achieved benefits and future enhancements for mobile app monitoring.
This guide demonstrates how to use Appium for automated testing of HarmonyOS applications, covering device connection setup, .hap package installation via HDC, element location strategies, handling logs, and compatibility considerations, providing code examples for developers familiar with Android automation.
This tutorial shows how to combine mitmproxy packet capture and Appium mobile automation in Python to automatically collect and download Douyin video URLs, covering environment setup, code snippets, and practical steps for a fully automated scraper.
This guide walks you through setting up a Windows environment with PyCharm, mitmproxy, and Appium to capture Douyin video URLs, filter them, and download the videos automatically using Python scripts that drive the mobile app and handle network traffic.
This article introduces SmsForwarder, an open‑source Android app that monitors SMS, calls, and app notifications and forwards them to various services such as DingTalk, WeChat, Telegram, email, and more, highlighting its convenience, low power consumption, and robust design.
This tutorial explains how to set up Python, mitmproxy, and Appium on Windows to automatically capture Douyin video URLs, download the videos, and automate scrolling on an Android device, providing a complete end‑to‑end solution for mobile video scraping.
This tutorial shows how to use Python, ADB, and OpenCV to automate the mobile game Princess Connect, covering environment setup, device communication, screen capture, image matching, OCR, and script snippets for clicking, typing, and switching accounts.
iQIYI’s iOS stability testing platform combines a three‑layer cloud device farm architecture with both random monkey and AI‑enhanced element‑traversal event generation, uses screenshot fingerprinting and OCR to mitigate runtime pop‑ups, and achieves roughly 30 % higher page coverage while detecting hundreds of crashes in production.
Learn how to set up a complete Android CI/CD pipeline by installing JDK, Android SDK, and Gradle, creating Docker images for builds, configuring Jenkins on Kubernetes, and automating packaging and deployment, with detailed commands and troubleshooting tips for efficient mobile app releases.
This tutorial walks you through using Airtest to automate mobile apps—showing how to launch apps via image recognition or package name, perform likes and comments, capture screenshots, enable real‑time coordinates, and create endless swipe loops with Python code.
This guide walks you through using Airtest to connect Android emulators, Windows desktop apps, and real Android phones—both via USB and Wi‑Fi—covering required developer settings, driver installation, input method configuration, and sample connection scripts.
This article describes how a mobile UI test framework was extended with Python scripts, configuration files, and an Enterprise WeChat robot to automate AB‑test validation across Android and iOS, reducing manual effort and improving efficiency by more than 50 percent.
This article introduces the Airtest mobile automation IDE, explains its cross‑platform and platform‑specific APIs, and provides detailed code examples for device initialization, control, app management, screen actions, and assertions, enabling developers to automate mobile testing efficiently.
The article describes how a three‑layer, cross‑platform mobile automation framework was designed and implemented for the Youku app, integrating driver, encapsulation, and test‑case layers with utilities, logging, image‑recognition and platform reporting to streamline regression testing, cut labor costs, and guide future enhancements.
This tutorial shows how to create a civilian‑grade AI for the mobile game Honor of Kings by mirroring the phone with scrcpy, generating action commands from game screenshots using a Transformer model, and executing them via minitouch on Android devices.
This article introduces Appium, an open‑source cross‑platform mobile automation tool, and provides a step‑by‑step guide to set up the Android development environment, install the Appium server (both CLI and desktop), and configure Python with the Appium‑Python client, including necessary code snippets.
This step‑by‑step guide shows how to install the Android SDK, configure Java JDK, install Appium, and write Python code to automate the WeChat app on Android devices, including common pitfalls and practical solutions.
This article introduces Appium's basic element locating techniques—including id, name, class name, XPath, UIAutomator, and relative coordinates—explains how to handle non‑unique elements through iteration or OCR, and demonstrates image‑based locating with OpenCV and screenshot code examples.
This article introduces Maxim, a monkey‑based Android stress‑testing tool that supports fine‑grained scenario control, multi‑device parallel execution, blacklist/whitelist configuration, and special event handling, and provides step‑by‑step instructions with screenshots for practical use.
This guide explains how to capture HTTPS traffic from an iOS app with Fiddler, configure the device proxy and certificates, and then recreate the login and query requests in JMeter to build automated API test cases, including token extraction and response validation.
The article introduces Soloπ, Alipay's comprehensive wireless and non‑intrusive Android testing framework that enables root‑free functional, performance, compatibility, and stability testing on mobile devices through wireless ADB, record‑playback, multi‑device control, and integrated performance tools such as mobile Lighthouse.
This article provides a comprehensive overview of Android UiAutomator 2.0, detailing its major features, migration differences from UiAutomator 1.0, important considerations, Gradle integration steps, test case creation and execution, as well as the UiDevice API and new UiObject2 capabilities for mobile UI automation.
This article analyzes the shortcomings of existing iOS remote‑control solutions, examines event‑driven and screen‑capture technologies, and presents a practical implementation that combines private APIs, optimized screenshot compression, and socket‑based real‑time streaming to achieve millisecond‑level event response and high‑frame‑rate video for multi‑device iOS control.
This article introduces Appium, an open‑source mobile automation framework that enables cross‑platform testing of native, hybrid, and mobile web apps by abstracting device interactions through third‑party engines, WebDriver API, sessions, and desired capabilities, and includes practical code examples.
This guide walks through installing the required tools, configuring Appium with Python on Windows, extracting an Android app's package and activity, writing a basic automation script, launching the app, using uiautomatorviewer for element location, and applying tips for Chinese input and service timeout handling.
The article presents a comprehensive overview of mobile UI automation and performance testing practices, covering WalmartLabs' Appium-based framework, Taobao's SDK timing and frame‑drop analysis, quality assurance systems, crash analysis, static code scanning, AppCrawler, Macaca, MockServer usage, and Docker‑based test environments.
This article describes how the MMGame testing team combined the open‑source Appium automation framework with OpenCV's image‑recognition capabilities to enable coordinate‑based testing of third‑party mobile games that lack accessible UI elements, detailing the workflow, implementation, results, and a comparison with other mobile testing tools.
The article introduces Smart Monkey, an exploratory UI traversal technique that systematically interacts with every UI element of Android and iOS apps, records element histories, assigns weighted priorities, and employs state‑breakthrough and ignore mechanisms to improve stability, compatibility, security, and performance testing.
