The relentless surge in AI-generated code is overwhelming software development teams, forcing companies to fundamentally alter their workflows. Tech giants like Microsoft, Google, and Amazon are grappling with the sheer volume of code produced by their internal AI tools, which far exceeds what their traditional pipelines can handle efficiently. This glut isn't just a minor inconvenience; it's creating significant bottlenecks, inflating costs, and demanding substantial new investments in infrastructure and talent to manage, secure, and integrate the flood of automated output. The financial burden is already substantial, with estimates suggesting companies are spending upwards of $500 million annually just to cope with the code deluge, diverting resources from core product development.