# QCon AI New York 2026

Published articles for QCon AI New York 2026.

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## QCon AI New York 2026 Program Committee Picks: Agent Identity, Context Costs, and Open-Source Infere

DevFeed: [QCon AI New York 2026 Program Committee Picks: Agent Identity, Context Costs, and Open-Source Infere](<https://devfeed.tech/articles/qcon-ai-new-york-2026-program-committee-picks-agent-identity-context-costs-and-open-source-infere-106251.md>)

Original publisher: [Read original article](<https://www.infoq.com/news/2026/10/qcon-ai-newyork-2026-pc-picks/>)

Author: Artenisa Chatziou

Published: 2026-10-29T11:00:00Z

Content type: news

Language: en

Sources: [InfoQ](<https://devfeed.tech/sources/infoq.md>)

Topics: [AI Context Management](<https://devfeed.tech/topics/ai-context-management.md>), [Agent Harness](<https://devfeed.tech/topics/agent-harness.md>), [Open Source](<https://devfeed.tech/topics/open-source.md>)

Tags: [2026](<https://devfeed.tech/tags/2026.md>), [actions](<https://devfeed.tech/tags/actions.md>), [agent](<https://devfeed.tech/tags/agent.md>), [agent-identity](<https://devfeed.tech/tags/agent-identity.md>), [agents](<https://devfeed.tech/tags/agents.md>), [ai](<https://devfeed.tech/tags/ai.md>), [ai-ml-data-engineering](<https://devfeed.tech/tags/ai-ml-data-engineering.md>), [anthropic](<https://devfeed.tech/tags/anthropic.md>), [api](<https://devfeed.tech/tags/api.md>), [architectures](<https://devfeed.tech/tags/architectures.md>), [audio](<https://devfeed.tech/tags/audio.md>), [authorization](<https://devfeed.tech/tags/authorization.md>), [context](<https://devfeed.tech/tags/context.md>), [costs](<https://devfeed.tech/tags/costs.md>), [identity](<https://devfeed.tech/tags/identity.md>), [inference](<https://devfeed.tech/tags/inference.md>), [ml-data-engineering](<https://devfeed.tech/tags/ml-data-engineering.md>), [new-york](<https://devfeed.tech/tags/new-york.md>), [news](<https://devfeed.tech/tags/news.md>), [open-source](<https://devfeed.tech/tags/open-source.md>), [qcon-ai-new-york-2026](<https://devfeed.tech/tags/qcon-ai-new-york-2026.md>), [qcon-ai-newyork-2026-pc-picks](<https://devfeed.tech/tags/qcon-ai-newyork-2026-pc-picks.md>), [qcon-software-development-conference](<https://devfeed.tech/tags/qcon-software-development-conference.md>), [questions](<https://devfeed.tech/tags/questions.md>), [standards](<https://devfeed.tech/tags/standards.md>), [teams](<https://devfeed.tech/tags/teams.md>)

### AI overview

The QCon AI New York 2026 committee's six picks focus on production challenges in agentic systems and AI engineering. Sessions cover delegated authority, credential handling, and agent security; LLM context compression, caching, and retrieval, including failure modes in tool use; how coding agents may reshape engineering teams and junior roles; and open-source inference with Agentic API, vLLM, and llm-d, where cost per completed task is emphasized over token price alone. The remaining picks examine agent standards including MCP, A2A, and OAuth, distinguishing shipped capabilities from open work, and audio AI trade-offs such as end-to-end versus cascaded architectures and latency versus quality. The source presents these as conference session topics and committee selections, not as settled conclusions.

### Source excerpt

Who authorizes an agent's actions, and how should teams manage growing context costs? The QCon AI New York 2026 program committee shares six session picks that tackle these questions, alongside open-source inference, agent standards, and audio AI. By Artenisa Chatziou

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

DevFeed: [Production Patterns for Agents, Evals, and LLM Costs: QCon AI New York 2026](<https://devfeed.tech/articles/production-patterns-for-agents-evals-and-llm-costs-qcon-ai-new-york-2026-85868.md>)

Original publisher: [Read original article](<https://www.infoq.com/news/2026/10/qcon-ai-newyork-2026-sessionsv2/>)

Author: Artenisa Chatziou

Published: 2026-10-13T12:00:00Z

Content type: news

Language: en

Sources: [InfoQ](<https://devfeed.tech/sources/infoq.md>)

Topics: [QCon Software Development Conference](<https://devfeed.tech/topics/qcon-software-development-conference.md>), [Amazon Bedrock](<https://devfeed.tech/topics/amazon-bedrock.md>)

Tags: [agents](<https://devfeed.tech/tags/agents.md>), [agents-in-production](<https://devfeed.tech/tags/agents-in-production.md>), [ai](<https://devfeed.tech/tags/ai.md>), [ai-architecture](<https://devfeed.tech/tags/ai-architecture.md>), [ai-ml-data-engineering](<https://devfeed.tech/tags/ai-ml-data-engineering.md>), [architecture-design](<https://devfeed.tech/tags/architecture-design.md>), [artificial-intelligence](<https://devfeed.tech/tags/artificial-intelligence.md>), [costs](<https://devfeed.tech/tags/costs.md>), [dora](<https://devfeed.tech/tags/dora.md>), [engineering](<https://devfeed.tech/tags/engineering.md>), [eval](<https://devfeed.tech/tags/eval.md>), [evals](<https://devfeed.tech/tags/evals.md>), [guardrails](<https://devfeed.tech/tags/guardrails.md>), [large-language-models](<https://devfeed.tech/tags/large-language-models.md>), [llm](<https://devfeed.tech/tags/llm.md>), [ml-data-engineering](<https://devfeed.tech/tags/ml-data-engineering.md>), [news](<https://devfeed.tech/tags/news.md>), [permissions](<https://devfeed.tech/tags/permissions.md>), [production](<https://devfeed.tech/tags/production.md>), [qcon-ai-new-york-2026](<https://devfeed.tech/tags/qcon-ai-new-york-2026.md>), [qcon-ai-newyork-2026-sessionsv2](<https://devfeed.tech/tags/qcon-ai-newyork-2026-sessionsv2.md>)

### AI overview

QCon AI New York 2026 will feature senior engineers discussing production AI challenges, including agent authorization and guardrails, evaluation, token costs, AI-assisted code review, and assessing organizational AI maturity. The conference is scheduled for December 15-16 in Jersey City.

### Source excerpt

Once AI is in production, code arrives faster than it can be reviewed, token costs rise, evals have to be good enough to act on, and agents need permissions and guardrails. QCon AI New York 2026 (December 15-16) has confirmed sessions from engineers sharing how they handle these constraints. By Artenisa Chatziou

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

DevFeed: [From Agent Authorization to AI Production Evaluation: QCon AI New York 2026](<https://devfeed.tech/articles/from-agent-authorization-to-ai-production-evaluation-qcon-ai-new-york-2026-59807.md>)

Original publisher: [Read original article](<https://www.infoq.com/news/2026/09/qcon-ai-newyork-2026-sessions/>)

Author: Artenisa Chatziou

Published: 2026-09-25T11:00:00Z

Content type: news

Language: en

Sources: [InfoQ](<https://devfeed.tech/sources/infoq.md>)

Topics: [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [AI Engineering](<https://devfeed.tech/topics/ai-engineering.md>), [Authorization](<https://devfeed.tech/topics/authorization.md>), [sessions](<https://devfeed.tech/topics/sessions.md>), [Platform Engineering](<https://devfeed.tech/topics/platform-engineering.md>), [model-serving](<https://devfeed.tech/topics/model-serving.md>), [observability](<https://devfeed.tech/topics/observability.md>), [Kubernetes](<https://devfeed.tech/topics/kubernetes.md>)

Tags: [2026](<https://devfeed.tech/tags/2026.md>), [ai](<https://devfeed.tech/tags/ai.md>), [ai-architecture](<https://devfeed.tech/tags/ai-architecture.md>), [ai-engineering](<https://devfeed.tech/tags/ai-engineering.md>), [ai-ml-data-engineering](<https://devfeed.tech/tags/ai-ml-data-engineering.md>), [ai-systems](<https://devfeed.tech/tags/ai-systems.md>), [architecture](<https://devfeed.tech/tags/architecture.md>), [architecture-design](<https://devfeed.tech/tags/architecture-design.md>), [artificial-intelligence](<https://devfeed.tech/tags/artificial-intelligence.md>), [authorization](<https://devfeed.tech/tags/authorization.md>), [ml-data-engineering](<https://devfeed.tech/tags/ml-data-engineering.md>), [model-serving](<https://devfeed.tech/tags/model-serving.md>), [news](<https://devfeed.tech/tags/news.md>), [observability](<https://devfeed.tech/tags/observability.md>), [policy-enforcement](<https://devfeed.tech/tags/policy-enforcement.md>), [qcon-ai-new-york-2026](<https://devfeed.tech/tags/qcon-ai-new-york-2026.md>), [qcon-ai-newyork-2026-sessions](<https://devfeed.tech/tags/qcon-ai-newyork-2026-sessions.md>), [qcon-software-development-conference](<https://devfeed.tech/tags/qcon-software-development-conference.md>)

### AI overview

QCon AI New York 2026 has announced 23 of more than 30 sessions focused on production AI systems. Topics include authorization for autonomous agents, operational guardrails for Kubernetes infrastructure, shared model-serving platforms, and post-deployment evaluation of AI decision systems.

### Source excerpt

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