Up to 60% of AI-generated code ships with issues. Learn proven strategies to validate, test and assure quality in software written by LLMs and copilots.

Discover how agentic testing uses autonomous AI agents to reshape QA in 2026, cutting maintenance effort and accelerating delivery with quality.

If you work in software development or quality assurance, you’ve probably noticed that the conversation around AI has shifted over the past two years. We’ve moved from “this will transform everything” to “ok, but how does it actually work in practice?” 2026 is the year when teams that bet early on AI testing tools start

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

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: