Agentic Development with Google Antigravity (Triangle Tech Talks)
In this session, Jamie Duncan (Google Cloud) explores the evolving landscape of agentic AI development, focusing on Google's newly released Antigravity platform. The talk is grounded in real-world customer experiences rather than hype, highlighting how teams are actually using AI tools — and where they struggle.
🗂️ What We'll Cover
- ⚡ AI speed gains vs. human bottlenecks
- 🤖 The rise of agentic workflows
- 🌌 Google Antigravity: concept & philosophy
- 🧩 Types of agents
- 📈 Agent evolution model
- 🔀 Key problem: context switching
- ✅ Best practices & takeaways
🎤 About the Speaker — Jamie Duncan
Jamie Duncan is a self-taught engineer who has spent nearly two decades building and operating real-world systems — from ISP help desks to large-scale cloud platforms. He started his career in 2007 on a regional ISP help desk, troubleshooting static IP configurations on Windows XP. Without a traditional degree, Jamie learned the craft the hard way: breaking things, digging into documentation, and shipping solutions that work in production. That hands-on, curiosity-driven approach continues to shape his work today.
Jamie has built his career at the intersection of infrastructure and people — focusing on the often-unseen challenges that make systems reliable at scale. His experience spans startups, media platforms, Red Hat (where he worked on large-scale container deployments including Healthcare.gov), VMware, and now Google Cloud, where he helps organizations extract real value from modern cloud platforms.
Today, Jamie is deeply focused on agentic development — designing systems where AI agents can operate effectively with the right context, constraints, and supervision. He believes the future of engineering isn't just about smarter models, but about better context: well-defined specs, structured documentation, and disciplined orchestration.
He is also the co-author of OpenShift in Action, a practical guide to running Kubernetes-based systems in the real world, and the creator of Root, an open-source framework for building context-driven, agent-powered workflows.
Known for his pragmatic mindset, Jamie cares less about hype and more about systems that actually hold up — especially at 3 a.m. when it matters most. 🌙