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A complete guide to the three core categories of AI tools in the testing era (personal assistants, CLI geek tools, AI IDEs), revealing the real challenges of AI test case generation and the new AI test development paradigm.

A comprehensive guide to three core AI tool types (personal assistant, CLI geek, AI IDE) in the testing era. Uncover the real challenges of AI test case generation and the new AI test development paradigm.

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.

A deep dive into AI-powered testing: Cursor Skills, Coze agents, and LangChain multi-agent systems for automated test case generation, BDD, and review workflows.

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A must-read for test engineers: use Cursor's custom Skills to auto-generate test cases covering positive, negative, and boundary values from PRDs, output as Markdown linked to XMind, adapting to functional, interface, and performance testing.

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.

6 AI Skills for test engineers: test case generation, PRD-to-XMind, JMeter scripts, Playwright automation, performance reports, and requirement checklists—completing 2-3 days of work in half a day.

Learn how to build 6 testing agents using AI Skills for test case generation, Xmind mind maps, performance reports, JMeter scripts, and more — saving 3-4 hours daily with no coding required.

A complete 3-month learning roadmap for switching to AI software testing from scratch, covering fundamentals, Python automation, AI-powered testing, and career guidance.

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In-depth review of AITS: an AI testing platform covering API automation, Web automation, App real-device cloud testing, and performance testing end-to-end.

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Tech FrontiersLearn how to combine Heiyu Loader and AI coding agents to automate the full performance testing pipeline — from test cases to reports — in 1 day instead of 30.
Deep DivesExplore how AITS uses AI Agents to auto-generate test cases, self-heal scripts, and run exploratory testing — helping engineers evolve from script writers to AI testing strategists.