Even after all that waiting in playwright, i still had some issues, and on reading i got to know something called poor hydration issue. What can we do to tacle that ?
Can AI assist in optimizing Playwright selectors for more reliable and maintainable tests?
Does playwright support API testing in parallel to UI testing?
Can you write tests via MCP ?
Test data is often the biggest pain in scaling automation. Do you see AI playing a role in managing and generating smart test data for Playwright, or is that still better handled manually / with scripts?
Could you please explain test coverage in a newbie term ?
How would AI perform if it was to convert cypress (or other - eg selenium) to playwright
What strategies or tooling enhancements are being considered (or could be considered) for Playwright to support AI-driven test case optimization—such as prioritizing high-risk test paths or auto-removing redundant scenarios from large enterprise test
Can you explain a framework that we can use for every type of testing?
Can we use playwright for performance testing for UI applications?
Does Playwright support automation of Electron applications?
How to make AI help with creating/organizing fixtures which will make sense in my context? So far I didn’t see good outputs.
Is Playwright just a faster Selenium or are we finally testing the way modern apps are built?
With advanced playwright framework, why we still rely on Page Object model framework and why not functional helper works very well?
What are some common shortcomings these tools have that you’d recommend a beginner watch out for?
Can we do audio and video call testing using AI agents?
Can an enterprise use this at scale with existing testing in place?
How to balance page object abstraction without over-engineering the Playwright framework?
Playwright also has an MCP server. Is there any advantage it brings compared to generating tests like this with cursor?
What strategies help identify when AI-generated selectors may cause flaky tests?