MockBukkit

ChatGPT broke all Internet records by going viral in the first week of its launch. A million users in 5 days are unprecedented. A conversational AI that can answer natural language-based questions and create poems, write movie scripts, write social media posts, write descriptive essays, and do tons of amazing things. Our first thought when we got access to the platform was how to use this amazing platform to make the lives of web and mobile app testers easier. And most importantly, how we can use ChatGPT for automated testing.

The rapid shift in the use of technology has impacted testing and quality assurance significantly, especially around the cloud adoption of agile development methodologies. With this, the increasing importance of quality and automation testing has risen enough to deliver quality work.

Technical debt was originally defined as code restructuring, but in today’s fast-paced software delivery environment, it has evolved. Technical debt may be anything that the software development team puts off for later, such as ineffective code, unfixed defects, lacking unit tests, excessive manual tests, or missing automated tests. And, like financial debt, it is challenging to pay back.

“Test frequently and early.” If you’ve been following my testing agenda, you’re probably sick of hearing me repeat that. However, it is making sense that if your tests detect an issue soon after it occurs, it will be easier to resolve. This is one of the guiding concepts that makes continuous integration such an effective method. I’ve encountered several teams who have a lot of automated tests but don’t use them as part of a continuous integration approach. There are frequently various reasons why the team believes these tests cannot be used with continuous integration. Perhaps the tests take too long to run, or they are not dependable enough to provide correct results on their own, necessitating human interpretation.