QCon AI Boston’s Early Program Focuses on the Engineering Work Behind Production AI

QCon AI Boston (June 1–2, 2026) has announced its early program, centered on the engineering challenges of running AI in production. Key themes include context engineering over prompting, agent explainability, moving beyond basic RAG to knowledge graph-based reasoning, bridging offline and live evaluation gaps, zero-trust security for agent systems, and building internal GenAI platform infrastructure. Confirmed speakers come from Netflix, DoorDash, Microsoft, Dataiku, Redis, and Amazon, reflecting a shift in focus from AI demos to dependable, observable, and governable production systems.