Top-Notch Web Testing with Playwright and AI (Advanced)
NewReady to push Playwright to the next level? This hands-on coding tutorial targets developers, testers, and SDETs who already know Playwright basics and want to scale their automation using AI-driven workflows. Using Playwright with TypeScript, we’ll dive straight into coding with tools like Playwright CLI and MCP, alongside AI coding agents such as Claude, Cursor, Copilot, or Codex. You’ll learn how to plan tests with AI, generate new coverage, and heal broken tests efficiently, while structuring your code with page objects and managing test data to avoid collisions. We’ll also explore spec-driven development as a way to guide AI agents toward more reliable outcomes. Expect practical exercises, real-world problem-solving, and actionable patterns you can apply immediately to build faster, more resilient test suites.
Prerequisites: Attendees should clone this repository and follow the setup instructions in the README: https://github.com/AutomationPanda/awesome-web-testing-playwright. If desired, they should also bring an AI coding assistant like Cursor, Claude, or GitHub Copilot
Andrew Knight, also known as “Pandy,” is the Automation Panda. He’s a software quality champion who loves to help people build better quality software. Currently, he works as the Senior Director of Product Management at Cycle Labs, focusing on building an excellent test automation platform for enterprise systems. Previously, Pandy spent a decade as a SDET building solutions to testing problems at various tech companies. He also previously led Developer Relations and Test Automation University at Applitools. As an avid supporter of open source software, Pandy is a Playwright Ambassador as well as the lead developer for Boa Constrictor, the .NET Screenplay Pattern. On the side, he is writing a book on software testing with Manning Publications. Apart from software, Pandy spends time with his family, his French Bulldog, and his vintage Volkswagens. Check out his tech blog at AutomationPanda.com, and follow him on Twitter at @AutomationPanda.