AI for automation testing is still in its infancy, and it’s important to keep that in mind when deciding whether or not you’re going to use it to test out your newest software or tech product.

Adopting codeless automation can bridge the gap between engineering and non-engineering teams, allowing more stakeholders to be involved in the testing process.

ML software will be used to track relationships in testing environments to identify patterns that help teams predict future testing needs and take a more proactive approach.

Generative artificial intelligence software testing startup BlinqIO Inc. said today it has closed on a $5 million round of funding to get around a shortage of human test programmers. Today’s ...