As AI-assisted and agentic development become standard, traditional engineering metrics are losing their meaning. Story points, PR counts, and velocity warp when teams use AI to generate code, tests, and documentation. While agentic tools unlock unprecedented capacity, they introduce a new risk: accelerating the delivery of low-value or low-quality work. If building software is no longer the bottleneck, how do we measure true engineering success? This roundtable explores how mobile engineering leaders must redefine metrics in an era of agentic development. We will debate whether traditional KPIs now reward the wrong behaviors and discuss shifting our focus from raw output to quality, developer experience, and customer impact. Topics for Discussion: The Metrics Mirage: Are story points, PR counts, and velocity obsolete, or just changing? Measuring AI Impact: How do we quantify the real ROI of AI-assisted development without rewarding output over user value? Quality & Guardrails: How do we prevent AI from accelerating poorly designed features or inflating our support burden? The New Signals: Should we be indexing purely on release confidence, lead time, and developer experience?