As Silicon Valley races toward a future where AI agents do most of the software programming, a new problem is created: finding the AI-generated bugs before they are put into production. Startup PlayerZero has created a solution: use AI agents trained to find and fix problems before the code is put into production, the startup’s CEO and sole founder, Animesh Koratana said. Koratana created PlayerZero while he was at the Stanford DAWN lab for machine learning under his adviser and lab founder, Matei Zaharia. Zaharia is, a famed developer and the co-founder of Databricks. PlayerZero trains models “that really deeply understand code bases, and we understand the way they’re built, the way they’re architected,” Koratana says. His tech studies the history of an enterprise’s bugs, issues, and solutions. When something breaks, his product can then “figure out why and fix it, and then learn from those mistakes to prevent them from ever happening again,” Koratana says. He likens his product to an immune system for large code bases. PlayerZero is already gaining traction for its emphasis on large codebases. While it was conceived for a world where agents are the coders, it is currently being used by several large enterprises that use coding co-pilots. For instance, subscription billing company Zuora is one of the startup’s marquee customers. Zuora is using the tech across its engineering teams, including to watchdog its most precious code, its billing systems, it said.