224 related articles

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.

A Bilibili creator open-sourced a Codex-based multi-platform auto-publishing Skill with 95% stability. It auto-fills titles, tags, and thumbnails on Bilibili, Douyin, and more, then waits for user confirmation before publishing.

Deep dive into AI-era automated testing: using Pytest + Playwright + MCP for stable automation, constraining code conventions with Skills, avoiding non-determinism and high token costs. Includes real debugging war stories.

Anthropic engineer Lydia and YK Sugi break down Claude Code's Intent-Driven Development paradigm, covering dynamic workflows, auto mode, sub-agent orchestration, and the evolving role of software engineers in the AI era.

Google's DevTools for Agents opens Chrome DevTools to AI coding agents, enabling autonomous end-to-end debugging — from reproducing errors to fixing source code — via console logs, network requests, and source maps.

Chrome DevTools for Agents, unveiled at Google I/O, gives AI coding agents a closed feedback loop with Lighthouse audits, user input simulation, and device emulation.
wigolo: A Zero-Cost MCP Tool That Give…
wigolo is a local-first open-source MCP tool that gives AI coding assistants like Cursor and Claude Code free web search, fetch, crawl, and research capabilities — no API keys, no cloud, $0/query.

Full breakdown of a real AI testing pipeline: API collection, doc enrichment, AI test case generation, Agent-driven execution, and test reports — with Skills, RAG, and Harness engineering.

Tencent's open-source BrowserSkill (BSK) lets AI agents reuse your real browser login state via a separate window, single-tab borrowing, and human takeover — safely and within clear boundaries.

AI agents are revolutionizing JS reverse engineering. This deep dive covers built-in tool chains, automation modes, prompt engineering for e-commerce, and full pipeline automation from parameter extraction to database storage.

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.
Coasty: API Infrastructure Built for C…
Coasty (YC S26) is an API platform for computer-use agents, wrapping screenshot capture, mouse/keyboard control, and session management into a unified interface so developers can focus on agent logic.

Claude Code found to contain user monitoring logic, raising AI tool privacy concerns. Learn how to isolate Claude Code, Codex & Copilot with Docker Sandboxes — full setup and escape testing included.

A deep dive into building verifiable, self-evolving Agent automation loops with Claude Code and Codex — covering Loop Contracts, four trigger types, three-phase execution architecture, and Evolve Loops.

How should test engineers choose AI tools? This guide breaks down the pitfalls of pure AI solutions and recommends a hybrid strategy using tools like DeepSeek, TRAE, Claude Code, and Skill encapsulation.
Deep Dive into AI Agent Skill Design: …
A deep dive into Skill design philosophy from Anthropic's Claude Code team and Perplexity's Agent team, covering the Tax Test, Gotchas Flywheel, progressive disclosure, and Eval-First practices for building high-quality AI Agent skill systems.

In 1975, a 28-year-old Spielberg's shark film — plagued by a malfunctioning mechanical shark and 105 days over schedule — became Hollywood's first $100M movie. The full story of Jaws at 50.
92% of U.S. City Websites Fail ADA Acc…
Independent testing shows 92% of U.S. city websites fail ADA accessibility standards. Explore WCAG compliance requirements, root causes, and practical developer guidance.
Reverse-Engineering Web Apps: A New Ap…
Explore a new approach to AI Agent tool integration: reverse-engineering web apps to turn API-less pages into callable Agent tools, with analysis of MCP synergy and challenges.

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.