Can AI Predict Bugs before They even Happen?

This episode explores a fundamental shift in software quality: Can AI genuinely predict bugs before they happen? Moving beyond reactive bug-fixing, we delve into how AI, powered by machine learning and predictive analytics, sifts through massive amounts of historical data—from code changes and test results to user feedback and performance data. Discover how AI identifies subtle, hidden correlations and risky patterns that indicate a high probability of future defects or performance issues. Learn how this proactive approach allows teams to pinpoint and address weaknesses much earlier in the development cycle, transforming QA from mere bug-catching to strategic quality nurturing and prevention.