The promise of autonomous testing — using AI and machine learning to streamline software testing — is undeniable. Faster development lifecycles, reduced human error, and comprehensive test coverage all sound like a dream come true for software development teams. However, the road to widespread adoption is riddled with potholes and detours. This blog dives into the key challenges...