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QCon AI New York 2026 highlights agent identity and context costs
Original: QCon AI New York 2026 Program Committee Picks: Agent Identity, Context Costs, and Open-Source Infere
QCon AI New York 2026 organizers have announced their program committee picks, spotlighting three themes: agent identity, the rising costs of managing context in AI systems, and open-source inference. The selections signal which software engineering topics the conference expects to dominate discussions among developers and architects working on large-scale AI applications next year.
Why now: The conference's theme picks signal what senior software engineers are prioritizing in enterprise AI right now.
Evidence
- QCon AI New York 2026 Program Committee Picks: Agent Identity, Context Costs, and Open-Source Infere · infoq.com
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