Earlier in my career (though it seems like yesterday), product teams I was a part of did everything “on-prem”, and angst-ridden code compiles took place every few months . We’d…
The obvious question — why is it so much faster to author new tests using Visual AI? It’s because Visual AI uses just a single line of code to take a screenshot of the entire page.
Many thanks to Applitools for the exciting opportunity to learn more about Visual AI testing by competing in the hackathon. While trying to solve the five challenges step by step,…
How do you find out about what works? Ask your peers. So, why not ask your peers about Visual AI?
It is no secret that many teams struggle with automated functional UI testing – some to the point where it is completely abandoned – even though the UI is the…
Elite teams add CI test automation early – and not full development database tests, but simple unit tests that can run in less than 10 minutes and validate code that has been written.
Lisi makes the key point – success in continuous delivery means shortening feedback loops to learn early. Every point of development and delivery needs validation.
Modern Functional Testing – Caveats and Conclusion In reaching the conclusion of the course on Modern Functional Testing using Visual AI, I reach the key question: Can I use visual…
While Cypress.io lacks support for cross-browser testing, Applitools supports it via their Applitools Ultrafast Grid. You can combine the best of both worlds by using Cypress.io to write your integration and E2E tests and letting Applitools Ultrafast Grid handle cross-browser testing for you.
As you know, I’m taking Raja Rao’s Test Automation University Course, Modern Functional Test Automation through Visual AI. Today we’ll discuss testing iFrames. In Chapter 5, Raja refers to iFrames as…
Many teams don’t automate tests to validate multiple variations because it’s “throw away” code. You’re not entirely sure which variation you’ll get each time the test runs. If you did write test automation, you may need a bunch of conditional logic in your test code to handle both variations. What if instead of writing and maintaining all of this code, you used visual testing instead? Would that make things easier?
Data-driven testing helps build and scale test automation – until you have to maintain your tests. Visual AI helps you test without growing your test code.
