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AI copilots are generating more code than ever before. But who’s maintaining it? In this AppDevANGLE episode, Paul Nashawaty sits down with Jonathan Schneider, CEO and Co-Founder of Moderne, to discuss why deterministic modernization is becoming the backbone of AI-era application development. With enterprise portfolios spanning hundreds of millions of lines of code across dozens, sometimes thousands, of repositories, traditional single-repo tooling simply isn’t enough. Generative AI may write code, but enterprises need deterministic, repeatable transformations to safely refactor, remediate vulnerabilities, and shift tech stacks at scale. If AI is giving teams “free puppies,” someone still has to feed them. Key Highlights: Why AI-generated code accelerates technical debt How deterministic recipes improve auditability and trust The hidden risk of multi-repository SDLC fragmentation Why modernization must move horizontally across business units How semantic code models enable cross-language reuse What a “liquid tech stack” means for cost control and vendor flexibility