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Artículo: AMZ-B0G2SYXYZY

Playwright MCP Framework: Master the Model Context Protocol to Power AI-Generated Tests, Self-Healing Automation, and LLM-driven Agents

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0.37 kg

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Sí

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Producto de
Amazon

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USA

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Stop Patching Brittle Locators. Start Building Autonomous, Self-Healing QA Agents. For years, UI automation has been a game of whack-a-mole. A developer refactors a component, a class name changes, and your entire test suite collapses . The "maintenance nightmare" of brittle locators has cost engineering teams millions of hours, eroding trust in automation and turning a critical asset into a liability. The problem isn't your tests; it's your tools. Early AI testing just swapped one form of "flakiness" for another, feeding unreliable, vision-based models that analyze pixels instead of intent. The breakthrough is here. The Playwright MCP Framework introduces a revolutionary new paradigm, shifting automation "from pixels to the accessibility tree". By giving AI agents direct, semantic access to the browser's accessibility layer, this framework finally enables the creation of tests that are as stable as the user experience itself . This book is not just a tutorial; it's a blueprint for an entirely new, autonomous QA pipeline. You will learn to build and deploy a three-agent system that handles the entire testing lifecycle. The Planner Agent: Give the agent a single, plain-English prompt (like a feature ticket). It will autonomously explore your live application, discover the feature, and generate a complete, human-readable Markdown test plan. The Generator Agent: Feed the Markdown plan to the Generator, which synthesizes production-grade, idiomatic Playwright test code in seconds. The generated code uses resilient, semantic locators—getByRole, getByLabel—from the start. The Healer Agent: Activate the Healer to monitor your CI pipeline. When a locator does fail, the agent captures the runtime debug data, analyzes the accessibility tree, scores potential candidates, and automatically repairs the test . Inside, you will master: Core MCP Concepts: Give your AI "verbs" by connecting LLMs to the browser's accessibility tree using the Model Context Protocol (MCP). Autonomous Test Generation: Go from a feature description to a full .spec.ts file without writing a single locator . True Self-Healing: Implement a closed-loop system that detects, diagnoses, and automatically patches test failures, ending the "maintenance nightmare" for good . Conversational Automation: Go beyond testing. Build a "Report Downloader" bot that can log in, apply filters, and export files from a simple chat message. Enterprise-Grade Security: Harden your system for production. Defend against the "Confused Deputy" problem , validate origins, sandbox agents, and prevent prompt injection attacks . The Capstone Project: Build a fully autonomous QA agent that can be assigned a feature ticket, discover the new UI, generate the tests, and submit a pull request with the new suite . This book is for QA engineers, developers, and DevOps professionals tired of locator churn. It’s time to stop scripting and start architecting. Evolve from an engineer to an "Agent-Handler" and build the autonomous, reliable, and self-maintaining automation framework you've always wished for.

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49% OFF

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