Agentic AI Demands Engineering Discipline

Agentic AI systems that suggest code, plan tasks, and execute changes require strict governance. Senior engineers treat AI output as untrusted until validated, design bounded agency with sandboxed environments, and require human approval for irreversible actions. Without these controls, a single incorrect inference can cause silent data corruption or system-wide outages.