Executive Summary
QCon AI New York has published its full program for December 15–16, 2026. Engineers from LinkedIn, Netflix, DoorDash, Figma, Pinterest, Honeycomb, Harvey, Google DeepMind and OpenAI describe AI systems they run in production. Talks cover agent permissions and guardrails, eval loops, inference cost, AI code review, and team adoption. By Artenisa Chatziou
Strategic AI Intelligence Breakdown
Technical & Industry Impact
QCon AI New York has published its full program for December 15–16, 2026.
Market Signal & Industry Direction
Engineers from LinkedIn, Netflix, DoorDash, Figma, Pinterest, Honeycomb, Harvey, Google DeepMind and OpenAI describe AI systems they run in production.
Tactical Advisory for Developers
Talks cover agent permissions and guardrails, eval loops, inference cost, AI code review, and team adoption. By Artenisa Chatziou.
Strategic Context & Ecosystem Implications
As artificial intelligence continues to disrupt enterprise infrastructure, tracking individual product launches and model upgrades within their broader macroeconomic and architectural contexts is vital. Organizations deploying AI in production face rapid paradigm shifts in inference costs, API latencies, security boundaries, and sovereign regulatory compliance.
For engineering teams integrating these technologies, continuous benchmarking against competing foundation weights—and maintaining flexible model-agnostic routing harnesses—is strongly recommended to mitigate single-provider vendor lock-in.