QCon AI New York 2026 / sessions

Talks and keynotes at QCon AI New York 2026

Senior engineers who run AI in production talk about the problems that come with it: code that arrives faster than it can be reviewed, rising token costs, evals you can act on, and agents that need permissions and guardrails. Each talk covers a system the speaker runs, including what they would do differently now.

The full schedule is published in early November.

December 15–16, 2026 New York

Past attendees included senior engineers from

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Program

All talks

Why senior engineers trust QCon

What QCon AI attendees say

Senior engineers, architects and engineering leaders on what they took back from QCon AI New York.

I came in with a question: how much of what's presented at an AI conference is real, and how much is demo with more lights and noise than substance? And today there was a lot of substance, more than I expected.
Edson Chávez, Lead Architect
The strongest message I brought was not about models. It was about execution, going beyond the hype and understanding how companies run AI at full scale.
Rafael Siqueira, Partner and Latam Leader @McKinsey Technology
Being surrounded by engineers and AI practitioners building real, scalable systems gave me a fresh perspective on how thoughtful design, trade-offs, and long-term impact shape good software. What stood out most was the community and the honesty.
Cecilia Q., Machine Learning Researcher @University of New Mexico

Convince your manager

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We've added a convince your manager page with an email template and an AI prompt. Both build your request around your current work, the sessions that apply to it, what you'll bring back and the cost.

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Bring the people who own the decisions

Production AI takes a team.

What each role takes back:

Software architects

Patterns for where an LLM's judgment belongs and where deterministic code takes over

Staff+ engineers

What it takes to turn a demo agent into a system that survives a failed run

ML and MLOps engineers

Eval designs that say ship or hold

Platform engineers

How other platform teams handle model access, eval pipelines and inference cost

Security engineers

Identity, least privilege and kill switches for tool-using agents

Engineering leaders

Adoption metrics tied to delivery and quality

Attendees at QCon AI New York

We offer group discounts for teams of three or more. Email info@newyork.qcon.ai with your team size to get your discount code.

Make the case

Need approval?

We’ve added a convince your manager page with an email template and an AI prompt. Both build your request around your current work, the sessions that apply to it, what you’ll bring back and the cost.

Register for QCon AI New York 2026

Two days of talks from senior engineers who build and run AI systems in production. December 15–16, 2026, New York.