19 related articles

A deep dive into DeepAgents' core mechanisms, with a hands-on guide to building a HarmonyOS automated testing Agent — covering create_deep_agent, LangChain comparison, and long-chain task planning.

Test engineers: use the AI Skill 'Doc-based Test Case Generator' to auto-generate structured test cases from PRDs or screenshots, covering boundary values, negative scenarios, and more.

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.

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.

A deep dive into pytest patterns: layered fixture management, parameterized coverage, mock isolation, coverage gates, and CI integration — upgrade your team from scattered scripts to a maintainable automated testing framework.

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.

Playwright's three new Test Agents—Planner, Generator, and Healer—cover the full pipeline from test design to script generation and auto-repair, integrated with VS Code, Claude Code, and more.

Learn Claude Code from scratch: understand LLMs vs. AI agents, explore a 3-day onboarding path, and discover how testing engineers can use agents to automate test case and script generation.

Is GPT Pro carpooling or account top-up really reliable? This article analyzes the risks of low-cost sharing including account security, privacy leaks, financial loss, and compliance issues.

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.

Understand the key differences between MCP (Model Context Protocol) and Skills through practical analogies and real testing scenarios to boost AI-driven test automation efficiency.

Learn how to use Claude Code's Skills system to auto-generate test cases from requirements docs in 10 minutes through a three-phase workflow of splitting, extraction, and generation.
TutorialsLearn how to use AI agents to auto-generate Excel test cases. Covers Coze platform setup, Dify private deployment with DeepSeek + Ollama, workflow design tips, and prompt engineering for testers.
TutorialsHands-on comparison of Skills, Coze, and Dify for AI-powered software testing: auto-generating test cases from PRDs, performance reports, and requirements Q&A bots.
TutorialsHands-on comparison of Skills, Coze, and Dify for AI-powered software testing — covering auto-generated test cases from PRDs, performance reports, and Q&A bots to help testers choose the right tool.
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.
TutorialsLearn how Claude Code combined with Skills encapsulation enables AI-driven test case generation with 10x efficiency gains, from 33 to 400+ cases through encoded expert knowledge.
Tech FrontiersLearn how to use Cursor AI to auto-generate XMind test cases from PRD docs, with boundary value analysis, equivalence partitioning, and one-click switching between functional, API, and performance tests.