Category
Mutation testing tests the tests themselves. Here is why that old idea may become an important quality signal when AI agents generate both production code and its test suite.
Read more: Mutation Testing for Agent-Written CodeA practical implementation of diagnosis-first self-healing end-to-end tests using Claude Code, Playwright, and GitHub Actions, with guarded repair pull requests and a complete example repository.
Read more: Self-Healing Tests with AI: Triage Before RepairHow a local testing stack evolved from one Docker-based environment into three distinct runtime profiles with clearer intent: lightweight, full, and server.
Read more: From One Local Stack to Three Training ProfilesA practical guide to Playwright CLI for AI agents: run browser actions from the terminal, load Playwright Skills, mock APIs, capture traces, and build isolated agentic tests.
Read more: Playwright CLI, Skills and Isolated Agentic TestingLearn what AI testing skills are and how they differ from RAG, MCP, and tool calling. A practical guide to building efficient AI testing agents with reusable playbooks.
Read more: AI Testing Skills: The Evolution Beyond RAG and MCPDiscover agentic testing: how AI agents can test applications through white-box code analysis and black-box exploration using Playwright MCP, Chrome DevTools MCP, and terminal tools. Learn practical examples with Java Spring Boot and React, explore benefits and challenges, and see how coding agents are becoming testing agents.
Read more: Agentic Testing - The New Testing ApproachComprehensive guide to securing your Playwright MCP test automation, covering authentication handling, credential management, secure test data practices, and protecting against common security vulnerabilities in automated testing.
Read more: Playwright MCP - Security Best PracticesLearn practical strategies to test and validate Large Language Model (LLM) systems. Discover how to ensure reliability, evaluate AI outputs, and maintain quality in real-world LLM-powered applications.
Read more: Testing LLM-based SystemsDiscover Test-Driven AI Development (TDAID) — a modern approach that merges Test-Driven Development (TDD) with AI-powered software engineering. Learn how to apply TDD principles to AI coding agents, build reliable feedback loops, and prevent regressions in non-deterministic systems. This guide explains why TDD is making a comeback in the AI era, how to structure agentic workflows around tests, and what practices help teams deliver high-quality, maintainable code with AI tools like Claude, Cursor, and Gemini.
Read more: Test-Driven AI Development (TDAID)A deep dive into Playwright Agents and the Model Context Protocol (MCP) — how Microsoft’s latest AI-powered Playwright release automates test planning, script generation, and self-healing browser tests across Chrome, Firefox, and WebKit.
Read more: Understanding Playwright AgentsPractical guidance for using agentic AI with Playwright to design, generate, and validate UI and API tests with better speed, quality, and reliability.
Read more: Playwright Agentic Coding TipsExplore a fully-featured local testing environment with Docker Compose. Includes React frontend, Spring Boot backend, monitoring tools, and more for practicing various testing techniques.
Read more: A Comprehensive Local Testing Stack to Hone Your Skills