Production Patterns for Agents, Evals, and LLM Costs: QCon AI New York 2026

Engineers at the QCon AI New York 2026 conference are addressing the operational challenges of deploying AI at scale. Presenters are focusing on managing rising token costs, establishing reliable evaluation frameworks, and implementing security guardrails for autonomous agents. These sessions highlight the industry shift toward practical production constraints, including the difficulty of maintaining code review standards as AI-generated output accelerates.