#Android automated testing
86 related articles
·2 min
6-Day Open Source AI Agent: Natural Language-Driven Android Automation Testing
Veta is an open source AI testing agent: just describe your test goal in natural language and it autonomously plans, executes, verifies, and reports Android test results — no scripts needed.
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GitHub Copilot SDK Released: Embed AI …
·2 min
GitHub Copilot SDK Released: Embed AI Agent Capabilities Directly Into Your Applications
GitHub open-sources copilot-sdk, enabling developers to embed Copilot Agent capabilities into their own apps. Explore its strategic significance, core features, and enterprise adoption considerations.
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·2 min
Cursor + Appium: Building a Full Mobile Automation Testing Workflow with AI
Learn how to combine Cursor AI with Appium in a 4-step workflow—environment check, test planning, project generation, and reporting—to build mobile automation fast.
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·3 min
AI Testing End-to-End in Practice: A Complete Guide from Test Case Generation to Agent Automation
A deep dive into AI testing workflows: API capture, test case generation, Agent orchestration, and automated execution. Learn the two core challenges — incomplete information and mandatory human review.
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·2 min
AI Truly "Gets Its Hands On" Your Phone: Android Remote Control MCP v1.9.0 Deep Dive
Android Remote Control MCP v1.9.0 adds ChatGPT support, OAuth 2.1 auth, and major WebView reliability fixes. Let AI Agents operate any phone app like a human.
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·2 min
Vibe Coding: The Full-Stack AI Development Methodology for the Solo Founder Era
Vibe Coding is reshaping software development — use natural language to direct AI through code, design, testing, and marketing. A guide for solo founders and indie developers.
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·3 min
Generate a Mini-Game from a Single Prompt? Testing the Cocos AI Agent Plugin
Deep dive into the Cocos Creator AI Agent Plugin: three-level context compression, tool approval, multi-agent parallelism, and DeepSeek-powered Mario scene building — all in one test.
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·3 min
Benchmarking LLMs on Smartphones: A Deep Dive into the MELTing Point Benchmark
The MELTing Point paper is the first to evaluate mobile LLM performance in real user scenarios, covering iPhone, Samsung, Pixel and more, testing TinyLlama, Mistral-7B and others—revealing GPU inference gains, 47°C heat warnings, and prefill-decode disaggregation.
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·2 min
Tailscale: Build a Secure Private Network Effortlessly with WireGuard
Tailscale is a modern networking tool built on WireGuard that automates key exchange, node discovery, and routing. Supports SSO and 2FA. Perfect for remote work, self-hosting, and multi-cloud setups.
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·6 min
European Parliament Members Investigating Spyware Hacked by Pegasus: The Watchdogs Become the Watched
EU spyware committee members hacked by Pegasus, exposing the regulatory crisis of commercial spyware. Deep analysis of zero-click attacks, systemic risks to democratic oversight, and the urgent need for international regulation.
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·6 min
GPT-5.6 Hands-On Deep Dive: ChatGPT and Codex Merge, Full Analysis of the Sol Model
GPT-5.6 is officially released, merging ChatGPT and Codex into one app and launching the three-tier Sol, Terra, and Luna models. A detailed breakdown of 16 hands-on tests plus Worker mode and Codex dev upgrades.
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·7 min
Google's $250K Bounty: Linux VM Escape Vulnerability Sets a Historic Record
Google paid a security researcher $250K for a Linux kernel VM escape vulnerability, setting a VRP record. An in-depth analysis of VM escape principles, kCTF incentives, and cloud security impact.
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·4 min
Hardware-Level Phone AI Agent Control: Bypassing Software Restrictions with HDMI + USB HID
An open-source project uses HDMI capture for screen vision and USB HID to simulate touch input, enabling root-free, app-free hardware-level phone AI Agent control. Explore the principles, advantages, and limitations.
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·7 min
21-Day Python Automation Testing Crash Course: A Complete Breakdown of the Three-Stage Learning Path
Learn automation testing from scratch! This article breaks down a three-stage path: Selenium/Appium tools, Requests+PyTest API testing, performance testing and CI/CD, with real projects—build a complete skill set in 21 days.
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·7 min
Previewing the AI Engineer Summit: Industry Signals of AI Engineering Reaching Maturity
An exclusive look at the AI Engineer Summit dress rehearsals, decoding the paradigm shift from research to production. A deep dive into AI Engineer challenges, RAG, agent systems, and AI engineering as a distinct discipline.
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·7 min
Spec-Driven Development: Andrew Ng Teaches You to Master AI Coding Agents Efficiently
Andrew Ng partners with JetBrains on a new course systematically teaching Spec-Driven Development. By writing high-quality specs, developers can precisely control AI coding agents, eliminate context decay, and boost intent fidelity.
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·4 min
AirDrop and Quick Share Security Vulnerabilities: Hidden Risks in Wireless Transfer Protocols
A deep dive into AirDrop and Quick Share wireless transfer protocol security — covering device discovery, handshake auth, data parsing attack surfaces, and practical defense recommendations.
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·8 min
MCP Server or Agent Skills? A Clear Guide to Architecture Decision-Making
MCP Server vs Agent Skills: how to choose? This article systematically outlines an AI Agent architecture decision framework across three dimensions—essential differences, applicable scenarios, and judgment criteria.
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·4 min
Getting Started with Software Testing: A Complete Guide to Core Concepts and Classification Systems
A comprehensive guide to software testing fundamentals covering definitions, purposes, classification by phase, technique, and method, plus core concepts like smoke testing and regression testing.
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·3 min
Agent + Skill Architecture: A Practical Guide to AI-Driven End-to-End Automated Testing
Learn how to build an AI-driven API automation testing framework using Agent+Skill architecture with Claude Code, covering test case generation, script execution, and report output.
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