Triangle Tech Talks

# 🚀 Reducing Friction & Scaling Productivity

### 🔎 Overview

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. 🌙