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AI-assisted development tools are accelerating code delivery but creating a dangerous comprehension gap. Teams ship faster but lack deep understanding of systems they build, making debugging and incident response slower. The difference between navigating code and truly inhabiting it matters when problems get complex. Engineering managers should implement understanding checkpoints before merging AI-generated code, distinguish between delegation tasks and learning tasks, watch for confident but shallow patterns, protect time for deep exploration, and reframe velocity metrics around outcomes like incident resolution rather than PR throughput.