Software developers use unit tests and gradual rollouts to prevent system failures. This approach contrasts with government overhauls of school systems or legal frameworks, which often lack rollback capabilities. Applying these engineering principles to AI policy prevents catastrophic errors. Practitioners should advocate for iterative, monitored governance instead of monolithic legislative shifts.