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The article focuses on the evolution of AI development from isolated model behavior to complex systems engineering, emphasizing production guardrails, agent authorization, and infrastructure constraints like inference economics. This shift highlights critical architectural challenges for deploying autonomous agents at scale, making it a central topic for AI practitioners rather than incidental coverage.

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From Agent Authorization to AI Production Evaluation: QCon AI New York 2026

InfoQSeptember 25, 20265 min read

QCon AI New York has confirmed 23 sessions covering agent authorization, production guardrails, shared inference infrastructure, and the evaluation of AI systems after deployment. By Artenisa Chatziou

QCon AI New York has confirmed 23 of more than 30 sessions, with newly published talks examining identity and authorization for autonomous agents, guardrails for an operations agent running against large-scale Kubernetes infrastructure, shared model-serving platforms, and the evaluation of AI decision systems after deployment. The conference will take place on December 15–16, 2026, at The Westin Jersey City Newport. Its program is intended for senior engineers, architects, and technical leaders working on AI systems in production. "Across this year’s program, one shift is unmistakable: AI engineering has become systems engineering. As AI systems become…

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