1830 related articles

An in-depth look at AI testing challenges. Learn to write reusable Skill packs and master Agent testing and LLM evaluation—covering the SKILL.md six-dimensional rule, skill-creator, EvalScope, and dataset selection.

Through a complete case of auto-generating test cases from requirement docs, this article explains Claude Code's Agent Skills packaging mechanism—turning proven AI workflows into reusable skills with on-demand loading.

A must-read for test engineers: use Cursor Skill to auto-parse PRDs and generate XMind mind map test cases with one click. Supports functional, API, and performance testing—no coding needed.

A developer shares a test case automation solution built on Claude Code + Skills: encapsulating requirement splitting, test point extraction, and case generation into independent Skills. The full workflow takes under 10 minutes.

Learn how Claude Code and its Skill mechanism can automatically convert a requirements document into production-ready test cases in under 10 minutes with a 3-stage pipeline.

Learn how AI Skills are transforming software testing. This guide covers Skill architecture, learning paths, and real-world applications in API automation and WebApp testing.

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.

With Claude Code and a Skills framework, go from requirements doc to test cases in under 10 minutes. A 3-stage automated pipeline: breakdown, extraction, and generation.

How Claude Code + Skills automates test case generation in 3 phases: requirements breakdown, test point extraction, and case generation — 10x faster than manual writing.

Stop using Claude Code as a chatbot. Here are 3 Skills for test engineers — bug report generator, code analyzer, script builder — configured once, used forever.

An in-depth analysis of the AI-driven software testing paradigm: with Skill and CLI as the core hub, supporting both platformized management and digital employees, helping testing teams transform from script writers into capability builders.

OpenAI released three GPT-5.6 models—Sol, Terra, Luna—and merged ChatGPT with Codex to launch Work mode. This hands-on review tests coding, game dev, and PPT creation, revealing one-click deployment wins alongside aesthetic and efficiency flaws.

Over 60% of companies have adopted AI testing tools, and roles paying 15K+ commonly require AI testing experience. Engineers with AI testing skills can see 30%~50% salary jumps.

Still using Claude Code as a chatbot? Learn 3 Skill configurations for QA engineers: Bug report generation, code risk review, and test data construction.

A security researcher demonstrates how to customize Claude into an automated penetration testing system with memory, skills, and a knowledge base — successfully compromising CTF targets and finding real Bug Bounty vulnerabilities.

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.

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.

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.