The technology for AI agents is emerging, but what about the MLOps? @infoq
The technology for AI agents is emerging, but what about the MLOps? @infoq
Uploaded December 2025 | Updated September 2026, 2 weeks ago
Host Hien Luu (Sr. Engineering Manager @Zoox and Track Host of "AI Engineering" @QCon London) pinpoints a main challenge: ensuring autonomous agents work reliably in enterprise-grade production.

Learn the patterns that bridge the gap: qconlondon.com/#program

📍QCon London, March 16-19, 2026
The technology for AI agents is emerging, but what about the MLOps?GitHub Next: how their research and prototyping team operatesHow Nubank Scales: From Binary Hell to Server-Driven UIBeyond the Hype: 28x Your Engineering Velocity with AITechniques for Improving Communication and Connection in Technical and Social SettingsParticipatory Leadership and Developing a Culture of Psychological SafetyA Java Performance Quest: Taming Unsafe Code, Embracing Idiomatic Style & Debugging the Linux KernelWASM Components are a FaaS Best FriendData Pipelines & Data Mesh: Where We Are and What the Future Looks LikeAI Autonomy Is Redefining Architecture: Boundaries Now Matter Most90% of Devs Get Java Serverless WRONG (How to Fix It)Beyond the Hype: Architecting Systems with Agentic AI
InfoQ |

The technology for AI agents is emerging, but what about the MLOps?

SHARE TO X SHARE TO REDDIT SHARE TO FACEBOOK WALLPAPER