How does this apply to AI-powered applications?

AI systems operate with uncertainty. Models may return low-confidence responses or lack sufficient context. Failure-First Engineering ensures there are fallback mechanisms, human review processes, or alternative workflows instead of blindly accepting unreliable outputs.