Every now and then, we hear that – manual testing is dead, but is it really? Automation tools are getting smarter, AI is taking over, and organizations are pushing for more frequent releases; therefore, it’s easy to think that manual testing is slowly becoming redundant. But let’s face it. Can automation replace human intuition, creativity, ...

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One of the biggest discussions in QA lately is whether or not Artificial Intelligence will help manual testers, or if it prepares them for quiet replacement. The answer appears layered for many manual QAs. There is no denying the benefits AI offers, including test execution in minutes; better tracking of defects, releasing us from repetitive ...

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Software quality assurance is no longer a mere supporting function; it now acts as a strategic cornerstone of digital transformation. As organizations reduce release cycles, embrace AI-driven development, and scale across cloud-native ecosystems, QA is one of the most transformed disciplines in its history. The year 2026 represents a tipping point. The era of traditional ...

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Conversational interfaces have slowly but effectively transformed the way users interact with software, shifting from formal structure to fluid dialogue. In contrast to traditional UIs that present manageable inputs in predetermined flows, conversation systems must deal with ambiguity, topic changes, and infinite potential expressions. This change requires a different mindset about testing: One that is ...

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In software testing, there is a hard truth that isn’t often discussed: the value provided by tests is very uneven. A small minority of tests always catch important defects early, and a much larger test set quietly saps time and energy without any meaningful return. Over time, test suites tend to become bloated and inefficient, ...

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Claude is transitioning from a simple conversational AI to a workflow-driven assistant that can execute structured tasks. This change is immensely relevant for QA engineers as testing by its nature is process-driven, or rather repeatable, and governed by bespoke standards. Agent skills enable Claude to follow matching workflows, perform tasks using domain-specific knowledge that was ...

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“Accountability breeds response-ability.” —Stephen Covey. With the emergence of AI-enhanced software development, the traditional accountability chain in software engineering has changed. When tools such as Copilot or ChatGPT generate code, authorship is obscured, and developers become more of a reviewer than an original creator. This raises an important question: if humans are not fully responsible ...

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“The only way to predict the future is to have power to shape the future” Eric Hoffer. AI is almost a fly buzzing in every corner of our lives in 2026. From the apps your phone uses to how whole organizations plan and run, AI is no longer a theoretical future concept; its practical manifestation ...

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“The software crisis emerged in the late 1960s as an increasing number of large projects experienced large cost overruns, missed deadlines, and failures to meet specifications. Some had to be canceled altogether. One response was calls for a discipline of ‘software engineering’” – Michael S. Mahoney. It was back then, but today, when we talk ...

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Software is no longer static. It no longer acts the same way across users, nor does it follow predictable deterministic flows that can be easily expressed in a set of pre-defined test cases. Addressing this challenge requires a change in approach, which is why today’s applications, particularly the ones powered by Artificial Intelligence, are dynamic ...

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