QA teams now use machine learning to analyze past test data and code changes to predict which tests will fail before they run. The technology examines patterns from previous test runs, code commits, ...

What sets Codeflash apart, he argues, is that it operates not just as a one-time audit or consultancy (as many optimization firms do) but as a continuous engine: “Codeflash has beaten us at optimizing ...

A year after coining “vibe coding,” Andrej Karpathy says the future belongs to engineers who manage A.I. agents, not lines of code.