AI Infrastructure Debt and Governed Agent Operations Reshape Software Work

AI coding surveys report that generated code can approach half of output in some settings, yet review, debugging, learning, maintainability, and accountability expand rather than disappear. Pull-request agents, spec-driven development, database and industrial assistants, sandboxing, permissions, observability, and human approval show that validation and governed workflow integration are becoming the central software bottlenecks; security claims about coding-agent vulnerabilities require verification.