Is there a formula or approach to estimate how much you should spend on your quality engineering (QE) efforts? Our CEO, Steve Semelsberger, is frequently asked that question in discussions…
AI now sits inside most software, whether teams planned for it or not. A recent report from Stanford HAI found that AI adoption jumped from 55 percent in 2023 to 78 percent in 2024.
Cyberweek 2025 demonstrated something unmistakable: the way customers shop, choose, and pay has changed permanently.
AI systems change faster than traditional QA models can react, which means quality risks now emerge in real time rather than at release.
In November 2023, I flew to Germany to speak at Agile Testing Days, one of the leading software testing conferences. My keynote was called “10x Software Testing.” I knew there would be skepticism in the room.
Most product teams today are very good at one thing: testing what happens when a user types a prompt.
The goal of any mobile product is to create an app experience that’s innovative and new. But you must accomplish specific, necessary steps between crafting a clear vision for your…
Did you know the global digital health market is on track to surpass $660 billion by the end of 2025? That’s no surprise, considering how healthcare apps have become indispensable in our daily lives.Â
Mobile application testing ensures the functional and non-functional quality of mobile application workflows. As more users rely on smartphones for daily tasks, expectations for performance and reliability continue to rise.
A QA crisis rarely knocks politely, it usually shows up in the middle of a normal day. One moment everything looks fine, and the next, dashboards turn red, customers hit roadblocks, or a service chain starts to unravel.Â
Agentic AI is now moving into quality assurance (QA), and its impact is undeniable. What used to be a human-only responsibility is now becoming a shared system of humans and intelligent agents that observe, reason, and act across the stack.