In our last post, we looked at how to evaluate the flood of AI-generated tests taking over modern pipelines. Given how fast AI developments are moving across software engineering, looking ahead to the next shift does not contradict what we discussed about test quality. It is simply a reflection of how quickly the ground is [...]
When AI Tests Pretend to Work For years on this blog, we talked about the pain of not having enough tests. QA teams were always racing against the clock, trying to write scripts before the release ship sailed, worrying about what was slipping through the cracks. Now the problem is flipped upside down. Give an [...]
For as long as software has been developed, there has been no shortage of voices demanding that quality assurance reinvent itself. We have participated in these discussions for twenty years on this very blog, tracking the various waves of automation, shift left methodologies, and continuous testing demands. The call to pivot is a familiar one [...]
For thirty years, the entire discipline of automated testing lived inside a comfortable binary truth. You provided a specific input, you dictated an exact expected output, and you commanded the machine to compare them. If a single character deviated, the test failed. It was clean, unforgiving, and perfectly suited for deterministic code. But walk into [...]
For years, the software industry has focused on one goal above almost everything else: increasing development speed. We have spent decades removing friction from the process of building software. Development environments improved, deployment pipelines became automated, cloud infrastructure eliminated provisioning delays, and test automation dramatically reduced the time required to validate changes. Every major advancement [...]
The World Cup has started again. It always brings that familiar mix of noise, anticipation, and too much football everywhere you look. It’s one of those moments when the whole world feels slightly in sync for a while. Back in 2010, during the World Cup in South Africa, we wrote a post comparing football teams [...]
You sit down with your morning coffee, open your dashboard, and see 86 failed test runs from overnight. Two years ago, that would have meant a crisis. Today, it is just noise. Across many teams we work with, a pattern is emerging where these failures are no longer seen as urgent warnings but as expected [...]
In the ongoing discussion about AI in software testing, most articles and conversations focus on what generative models can do, how quickly they can produce test scripts, or how they can reduce manual effort. These discussions have value, but they often fall into predictable patterns: hype about capabilities, exaggerated claims, lists of benefits without context, [...]
Blurring Boundaries in DevOps: The Rise of TestOps The deployment went live at 3 a.m., and for a brief moment, everything seemed perfect. Dashboards showed all systems green, the logs scrolled neatly, and the DevOps team finally exhaled. Then, just as they were about to log off, support alerts started pouring in. The application was [...]
Taming the Data Beast in Continuous Testing When the build pipeline turned red for the third time that week, Lena, a senior QA engineer, already knew what had gone wrong. It was not a bad merge, a flaky test, or a missing dependency. The problem was test data again. An expired token, mismatched user profile, [...]
