Everyone is talking about AI writing test automation.
But here's the question I think we're asking too infrequently:
Does AI actually understand your product?
Check the below video with common "AI tells" that appear in generated tests—patterns that reveal the model is writing syntactically correct code without understanding the business it's supposed to validate.
We look at four common pathologies:
Coverage blindspots
The mocking trap
Brittle assertions
Mechanics over meaning
AI is an incredible productivity tool, but passing tests don't necessarily mean you're testing the right things.
If you're using AI to generate Playwright, Cypress, Selenium, or unit tests, these are the signs to watch for.
I'd love to hear your experience: Have you noticed any AI tells in the tests it generates?
#AI #TestAutomation #SoftwareTesting #QualityEngineering #Playwright #Selenium #QA #SDET #SoftwareEngineering #GenerativeAI
https://www.youtube.com/watch?v=qeIFv5uBM0M
