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Should agents be durable?

  • Workshops

Most AI agents never make it to production. The infrastructure underneath simply wasn't built for workloads that are unpredictable by design.

In this workshop, Joey Baker walks through why traditional infrastructure breaks down under agentic workloads, what durability actually means at the task level, and how to express operational guarantees directly in your Python code.

You’ll leave with a working production demo of self-orchestrating agents that don’t require any pre-provisioned infrastructure, custom retry logic, or separate config to maintain. Just annotated functions that handle parallel execution, survive failures, and give you full visibility into what happened and why.

If you’ve ever watched an agent nail a demo and then spent months trying to make it reliable in staging, this one is for you.

Joey Baker

Senior Engineering Manager

Joey Baker

Render

Joey Baker is a seasoned engineering leader at Render, where he led the charge on building Render’s AI Runtime, a suite of tools that power agents, data pipelines, and other highly concurrent workloads. Before Render, he spent nearly six years at Discord, where he built and scaled high-performing teams and shipped popular features like Discord's App Platform, video calls, and screen streaming. He particularly enjoys “building the machine that builds the machine”.