This post explores why validation has become critical as AI agents handle longer, more autonomous software development tasks, presenting a layered approach combining feedforward instructions, task-specific guidance, and mechanical checks to ensure agents produce reliable code. The author examines how different validation patterns can be combined to reduce errors and improve agent performance in CI/CD pipelines.