When the topic is technical debt, the conversation usually gets directed at development teams. “That’s a dev problem.” Fair enough, after all, debt is born in the code. The thing is, QA is almost always the first to feel its effects, before anyone else does. And that puts the team in a strategic position that,

If you’ve ever interacted with a standard chatbot, you know they are great at answering questions but rarely “do” anything on their own. In the tech world, we are undergoing a major transition: we are moving from the era of AI that just talks to the era of AI Agents. But what does this change

Software can be an engineering masterpiece, with clean code and flawless architecture, and still fail at the moment of use. This happens because, while the developer builds logical paths so that features can exist, the end user navigates these paths with specific goals, a sense of urgency, and often a personal logic that defies any

The QA (Quality Assurance) career is one of the fastest-growing in the technology market. According to ITFórum’s report (2026), the IT market remains heated as the year turns, so professionals can and should pursue specializations. Understanding the differences between seniority levels in this field helps beginners chart a clear path for growth, and also makes

Artificial intelligence is redefining how we test software. Development teams are discovering that AI is not just a generative tool: 39% of testers report improvements in test automation efficiency when using AI (Testlio, 2025). At the same time, 67% of professionals would trust AI-generated tests, but only with human review. This data shows something important: