An incident call starts with an AI assistant explaining the changed code. Useful. But the room still goes quiet because nobody knows why this flow behaves differently, or which other promises depend on it. AI makes code, tests and summaries cheaper. The harder work is preserving the shared understanding behind the system. This session connects Naur’s theory building to daily AI-assisted development and leaves developers with practical habits for keeping the why alive.