H2K Infosys explains how AI is changing the way teams detect hidden software defects before they turn into expensive production issues. Modern AI-powered testing tools can scan massive amounts of code, recognize unusual behavior patterns, and even predict where bugs are most likely hiding. I’ve seen development teams catch memory leaks and security flaws weeks earlier just by using AI in software testing workflows. What’s interesting is how machine learning models learn from past failures, almost like an experienced QA engineer who never forgets a mistake. With AI-driven defect detection, companies can improve software quality, reduce downtime, and speed up releases without exhausting manual testing team
