"The four AI tracks focus on what changes when AI has to live in production: agent architectures with real blast radius, how to evaluate systems whose behavior isn't deterministic, safety nets that have to work when the model is confidently wrong, and data platforms that serve analytics and AI workloads off the same infrastructure."
"Architecting for Agents addresses software architecture as autonomous agents become first-class actors. Topics explored include orchestration, boundaries, control, and emergent behavior."
In 2026, senior engineers are tasked with designing solutions for various challenges, including failure modes of autonomous agents, maintaining predictable latency during traffic spikes, re-architecting APIs, and ensuring legacy systems operate smoothly. The QCon San Francisco 2026 program features 12 tracks that reflect these responsibilities. The program committee, composed of experienced practitioners, ensures that sessions focus on practical insights rather than commercial intent. The conference will take place from November 16-18, with additional training days, featuring over 60 speakers discussing production AI and data engineering.
Read at InfoQ
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