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QCon AI Boston: Production AI Moves beyond Prompts to Platforms, Harnesses, and Evals
QCon AI Boston 2026 focused on the operational challenges of deploying AI agents, emphasizing the need for robust production infrastructure. Key themes included improving context management, ensuring security through a "harness" around agents, and adopting a comprehensive engineering model for AI.
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Six Sessions at QCon AI Boston 2026 That Take Productionizing AI Seriously
QCon AI Boston 2026 is close to selling out. Discover six sessions where speakers engage directly with the gap between AI working in a demo and AI working in production.
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QCon AI Boston 2026 Schedule: Agents in Production, Inference Cost, and AI in the SDLC
The schedule for QCon AI Boston 2026 (June 1-2) is now live. The two-day program groups sessions around context engineering, inference economics, agent reliability, and how AI is changing the software development lifecycle. Speakers include engineers from DoorDash, LinkedIn, Netflix, Apple, and Red Hat.
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QCon AI Boston’s Early Program Focuses on the Engineering Work behind Production AI
As teams move AI from pilots to production, the hard problems shift from demos to dependability. The first confirmed talks for QCon AI Boston (June 1–2) focus on context engineering, agent explainability, reasoning beyond basic RAG, evaluation, governance, and platform infrastructure needed to run AI reliably under real-world constraints.