Jul 21, 2026

Your agent architecture has a half-life of 6 months — Dan Farrelly, CTO, Inngest

Dan Farrelly, CTO of Inngest, addresses the rapid obsolescence of AI agent architectures (a 6-month half-life) caused by fast-evolving models and frameworks. He proposes a solution: decouple agent systems into three conceptual layers (Execution, Context, Compute) and prioritize a stable, durable Execution Layer. This 'brain' layer, responsible for flow, state, and retries, offers resumability, flexible invocation patterns, and comprehensive observability, allowing the 'knowledge' and 'hands' layers to change frequently without necessitating full architectural rewrites.

Jul 13, 2026

From fork() to Fleet: Designing an Agent Sandbox Cloud — Abhishek Bhardwaj, OpenAI

This talk by Abhishek Bhardwaj from OpenAI details the architectural considerations for building secure and scalable AI agent sandboxes in the cloud. It explores runtime isolation technologies (from basic process execution to containers, GVisor, and microVMs), emphasizing the superior security of hardware-virtualized microVMs. The speaker then highlights the critical need for persistent storage, outlining explicit (copy-on-write snapshots) and always-on (tiered block storage) solutions as the next major unlock for agent capabilities. Finally, it touches on orchestration challenges for fleet-level management, including low-latency sandbox creation and snapshot-driven scheduling.

May 21, 2026

AI Agents Need Computers: 74% MoM Growth, 850K/Day Runs, & New Agent Cloud — Ivan Burazin, Daytona

Daytona CEO Ivan Burazin discusses the company's pivot from developer environments to composable computers for AI agents. He explains the unique infrastructure challenges posed by spiky RL and eval workloads, Daytona's bare-metal architecture with a custom scheduler for high performance, and the future need for stateful Windows and macOS sandboxes to automate knowledge work.

May 12, 2026

Give Your Agent a Computer — Nico Albanese, Vercel

Nico Albanese from Vercel demonstrates how to build a stateful, learning AI agent from scratch using AI SDK v6. The workshop covers the core components: a tool loop, provider-executed tools like web search, end-to-end type safety, and Vercel's new persistent named sandboxes, which give the agent a file system to persist state, memory, and even self-generated tools across sessions.