QCon AI Boston: Production AI Moves Beyond Prompts to Platforms, Harnesses, and Evals
Production AI just left the lab. QCon Boston reveals what separates pilot projects from real deployments.
Why it matters
As AI agents move from research to production, operational maturity—not model capability—is becoming the competitive moat. Infrastructure, evals, and security 'harnesses' are now table stakes for enterprise deployment.
The key facts
9 to knowQCon AI Boston 2026 focused on production deployment challenges
Key themes: context management, security harnesses for agents, comprehensive engineering models
Industry shift from prompt engineering to platform/infrastructure focus
Evaluation frameworks and operational governance emerging as critical requirements
QCon AI Boston 2026 conference focus
Key themes: context management, agent security harnesses, comprehensive engineering models
Industry shift from prompt-driven to platform-driven AI deployment
Emphasis on production infrastructure and evaluation frameworks
Security-first approach to agent deployment
Go to the source
InfoQ AI/MLinfoq.com
Publisher excerpt: 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.…