Hands-On AI Maintenance for Playwright Test Automation
How much time does your team spend maintaining Playwright tests instead of building new coverage?
Playwright adoption is growing rapidly, but there’s one problem nobody talks about enough maintenance. As applications evolve, UI changes, broken locators, flaky tests, and changing workflows turn test maintenance into one of the biggest bottlenecks in modern software delivery.
In this hands-on workshop, we’ll focus on AI-powered maintenance for Playwright test automation. Through live demonstrations, attendees will see how AI can recover from UI and DOM changes, adapt existing tests to updated workflows, reduce manual fixes, and help maintain reliable Playwright suites built with real Playwright code.
Participants will work through real maintenance scenarios – from generating initial tests to debugging failures, analyzing maintenance insights, and exporting production-ready Playwright code into existing Git workflows.
What attendees will learn:
• Why Playwright maintenance becomes difficult as applications evolve
• How AI Recovery reduces maintenance overhead and handles UI changes
• How to adapt tests to evolving workflows with less manual effort
• Best practices for scaling reliable Playwright automation
Live demonstrations included:
• Turning testing intent and recorded flows into real Playwright automation
• Running tests instantly in the cloud with no infrastructure setup
• AI-powered maintenance and AI Recovery from application changes
• Debugging failing Playwright tests and analyzing maintenance insights
• Exporting maintained Playwright code directly into Git repositories
Hands-On AI Maintenance for Playwright Test Automation
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