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A systematic breakdown of the three mainstream test automation approaches in the AI era: AI-generated code scripts, DOM parsing driven, and LVM visual model driven. In-depth comparison of principles, pros/cons, and use cases.

An in-depth analysis of the five core dimensions of AI Agent testing: command safety, tool-calling accuracy, task planning, output consistency, and error self-repair. Master automated testing methods and the transition path for test engineers.

In-depth analysis of the five core dimensions of AI Agent testing: command safety, tool-calling accuracy, task planning, output consistency, and error self-repair. Master automated testing and the transition path for test engineers.

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.

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.

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.

Testing research automation agent Klaus Goh: full reproduction of IBM's TTM time series paper at NeurIPS—from search to zero-shot inference, 2700+ predictions in 10 seconds, MSE 0.363 beating TimesFM.

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.

Playwright E2E Builder is an AI Skill installed in Cursor that transforms UI automation from throwaway scripts into sustainable engineering assets through a four-step workflow, with built-in locator health checks.

Struggling with mobile automation testing? This article breaks down Cursor + Mobile App Autotest Skill: 8-step workflow, Android/iOS unification, and quality gates to help QA engineers level up.

Can't make pure AI work? This guide explores the Semi-AI approach to API automation testing, covering key challenges, enterprise framework design, and how AI and frameworks work together for maximum impact.

Compare Playwright vs Selenium, explore Playwright's DevTools Protocol speed advantages, smart locators, and AI integration via MCP for zero-code web automation testing.

In-depth comparison of Playwright vs Selenium covering DevTools Protocol, async performance, smart locators, and AI MCP integration to help you choose the best automation testing tool.

Explore Playwright's core advantages including DevTools Protocol architecture, smart locators, and high-concurrency support, plus how to achieve zero-code automation testing with AI via MCP.
TutorialsA deep dive into engineering Claude Code for API test automation, covering environment setup, Skill development, tool encapsulation, and Harness Engineering methodology.
TutorialsHands-on review of 10 AI coding plugins covering Hyperframe animation, Remotion data videos, Figma design, multi-platform development, spreadsheet/PPT automation, and Computer Use for full productivity.
TutorialsHands-on review of 10 AI coding plugins covering Hyperframe animation, Remotion data videos, Figma design, multi-platform development, spreadsheet/PPT automation, and Computer Use for full workflow enhancement.
TutorialsExplore the semi-AI approach to API automation testing: why pure AI fails, framework design principles, technology choices, and clear human-AI division of labor for practical implementation.
TutorialsDeep dive into six common pitfalls of AI-generated API automation scripts and a three-layer solution covering diagnosis and optimization for real-world implementation.
TutorialsA deep dive into API automation testing framework design, covering Pytest encapsulation, unified parameter management, API data correlation, and assertion mechanisms.