Agentic AI is pushing developer tools into a new era where systems don’t just assist, but reason, adapt, and act within real engineering workflows. Moving from demos to reliable production requires more than clever prompts. It requires the right infrastructure for agentic workloads.

Join us in San Francisco for a panel with executive leaders building the next generation of AI-native devtools, from autonomous code review to living knowledge systems and building multi-agent AI frameworks.

Chang She — Co-Founder & CEO @ LanceDB
Devin Stein — CEO @ Dosu
Joao Moura – CEO @ CrewAI
Harjot Gill — CEO @ CodeRabbit

We’ll discuss what it takes to run agentic systems in production, including the architectural tradeoffs, infrastructure decisions, and lessons learned scaling from prototype to real-world deployment.

We’ll focus on building agentic workloads that can reason, take action, and remain robust, observable, and controllable in production.

By your hosts, LanceDB & Dosu.

About HAC

Hanwha AI Center (HAC) is a private membership for all those dedicated to AI. As a hub for innovation, HAC brings together passionate entrepreneurs, researchers, and visionaries to explore the societal and technological impacts of AI on human life.

Agentic Infrastructure: From Prototype to Production Without the Pain