Playwright and Cucumber is a BDD testing combination that pairs Gherkin feature files with Playwright’s browser automation engine, letting teams write behavior in plain language while executing it through deterministic, code-driven checks. Cucumber parses Feature and Scenario statements written with Given, When, and Then keywords, step definitions bind those statements to TypeScript or JavaScript functions,… Continue reading Agentic Testing and QA with Playwright and Cucumber
Category: Automation Testing
Gauntlet Loop: How AI Agents Build, Judge, and Fix Work
A Gauntlet Loop is an agentic AI workflow in which a lead agent breaks a broad goal into small, independently judgeable pieces, assigns them to specialist builder agents, and routes every result through a separate judge agent that compares the work against a quality bar. The pattern was popularized by Matt Shumer’s July 2026 “Claude… Continue reading Gauntlet Loop: How AI Agents Build, Judge, and Fix Work
Building an Agentic Playwright Framework for QA Teams
An agentic Playwright framework is a Playwright test suite extended with AI agents that handle bounded work around execution: generating schema-controlled test data, analyzing failure evidence, and surfacing flaky-test patterns. Playwright still owns browser automation, assertions, and pass/fail reporting — agents sit beside that loop, not inside it. Each agent reads a defined input, such… Continue reading Building an Agentic Playwright Framework for QA Teams
Top Automation Testing Tools for DevOps Pipelines (2026 Edition)
Automation testing tools are the quality engine of a modern DevOps pipeline, and picking the right mix decides whether you ship fast or ship broken. Don’t chase the longest feature list. Build the smallest stack that covers every stage of your pipeline, then let automation do the boring work. Shipping code multiple times a day… Continue reading Top Automation Testing Tools for DevOps Pipelines (2026 Edition)
What Is Test Automation Software? Types & How to Choose
Test automation software runs your tests automatically so teams catch bugs sooner and ship faster. Start by mapping which tests actually deserve automation, then choose the tool that fits that work instead of the other way around. Test automation software is a category of tools that executes your software tests through scripts and automated runs… Continue reading What Is Test Automation Software? Types & How to Choose
How custom AI agents via MCP extend autonomous QA
Custom AI agents via MCP (Model Context Protocol) let an autonomous QA system reach beyond its built-in skills by connecting to external tools such as GitHub and browser automation services. In practice, that means a QA agent can inspect source code changes, identify new features, compare them against existing test coverage, and create missing test… Continue reading How custom AI agents via MCP extend autonomous QA
CLI Coding Agents for QA Engineers: Setup, Workflows, and Tradeoffs
At a Glance CLI Coding Agents for QA: What You Actually Get Terminal-resident, repo-aware, and capable of running your entire test loop autonomously. Scope advantage: CLI agents operate across your entire repository — not just open files — letting you assign multi-file refactors, coverage gap analysis, and bulk selector updates without leaving the terminal. Verification… Continue reading CLI Coding Agents for QA Engineers: Setup, Workflows, and Tradeoffs
Why Gemma 4 QAT Struggles in Local Coding Agent Tasks
Gemma 4 QAT refers to Google’s quantization-aware versions of Gemma 4, designed to reduce memory use and improve local inference speed on developer machines. In a direct head-to-head coding-agent task using VS Code and DeepEval, Gemma 4 QAT produced structurally incomplete test code — initializing evaluation metrics without applying them correctly and omitting the required… Continue reading Why Gemma 4 QAT Struggles in Local Coding Agent Tasks
Claude Code with Playwright MCP: Agentic AI Test Automation Setup Guide
Claude Code with Playwright MCP is an agentic QA workflow where Claude Code uses the Playwright Model Context Protocol server to connect a coding agent to a live browser. The agent navigates the application, reads the actual DOM, captures real selectors, and generates executable Playwright tests from what it observes — instead of guessing page… Continue reading Claude Code with Playwright MCP: Agentic AI Test Automation Setup Guide
How To Integrate Agentic Testing Into Your CI/CD Pipeline
At a Glance Agentic Testing in CI/CD: Where the Boundary Is and How to Cross It Cleanly AI drafts the tests. Playwright runs them. The CLI governs both. The boundary is strict: Agentic tools belong in the drafting layer — analysis, coverage planning, and script generation. Deterministic frameworks like Playwright or Selenium own execution. Mixing… Continue reading How To Integrate Agentic Testing Into Your CI/CD Pipeline