NEWS · CODING · #2767
QCon AI New York 2026 committee highlights sessions on agent identity, context costs, and vLLM
The QCon AI New York 2026 program committee has selected six sessions for the Dec 15–16 conference that focus on agent identity and authorization, token/context cost management for production LLMs, coding agents in engineering orgs, open-source agentic inference with vLLM, agent standards, and audio processing with LLMs. Notable speakers include Nancy Wang (1Password), Tejas Chopra (Headroom Labs), Peter Bell (Gather.dev), Francisco Javier Arceo (Baseten/vLLM), Kevin Kelley (Anthropic), and Tara Sainath (Google DeepMind); the conference will be held at the Westin Jersey City Newport.
KEY POINTS
- The QCon AI New York 2026 program committee has selected six sessions for the Dec 15–16 conference that focus on agent identity and authorization, token/context cost management for production LLMs, coding agents in engineering orgs, open-source agentic inference with vLLM, agent standards, and audio processing with LLMs.
- Notable speakers include Nancy Wang (1Password), Tejas Chopra (Headroom Labs), Peter Bell (Gather.dev), Francisco Javier Arceo (Baseten/vLLM), Kevin Kelley (Anthropic), and Tara Sainath (Google DeepMind); the conference will be held at the Westin Jersey City Newport.
- The selections signal what production-focused engineers should prioritise next—agent identity/delegation, context-cost mitigation, open-source inference tooling, and interoperable standards.
WHY IT MATTERS
The selections signal what production-focused engineers should prioritise next—agent identity/delegation, context-cost mitigation, open-source inference tooling, and interoperable standards.