The Agent Proposes, the Pipeline Disposes: Controls for AI-Authored Change

AI-authored changes in codebases are happening at a faster pace than human review, making traditional controls like code diffs obsolete. This shift requires durable controls that live outside the agent's reasoning loop to ensure quality and reliability. Engineers should focus on implementing these controls to maintain code integrity. This change is crucial for DevOps teams to adapt to the increasing speed of AI-driven development. It's essential to prioritize controls that are not dependent on human oversight.