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Can Generative AI increase Productivity for Manual Test Cases?

ITX is no stranger to experimenting with new and interesting technologies. Of course, hot-button and top-of-mind is AI-generated content: does it have a place within copywriting?

And while we at the ITX Content Team believe it does, we’ve continued to investigate the technology. Our research, which includes several internal experiments, has led us to believe that it could be a useful tool for a content writer, with some major caveats

So, how can you get the most out of a large language model (LLM)? If rumors are to be believed, everyone’s already using AI for everything. If that’s true, then how does anyone stand out if we’re all using the same programs?

Really, there is no secret. There are many different schools of thought, and some tricks you can use to improve an AI’s output, but it’s up in the air at the moment. Our general philosophy: to get good out, you’ve got to put good in.

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Visual Regression Testing

It’s not enough for a website to be good: it must be good everywhere, for everyone, every time. One way that we at ITX go about ensuring all the pages we build are up to our standards is by employing visual regression testing tools.  

These tools help to detect unwanted changes or defects in the layout, design, or functionality of a webpage. Normally, someone would need to manually load the page they are testing in a variety of display sizes and devices, then check to make sure none of the elements on that page are broken or unusable at certain sizes. 

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