Get Out of the Model's Way — Kevin Hou, Google DeepMind
Sep 27, 2026AI Engineer
Summary
This talk details the evolution of AI coding tools from autocomplete to agent teams, introducing Google DeepMind's Antigravity 2.0. The core principle is to "get out of the model's way" by enabling dynamic subagents (led by Gemini 3.5 Flash via /teamwork), sidecars for plugin extensibility (listening to webhooks, cron jobs, messages), and generative UI for dynamic status views. This approach enabled the creation of an OS kernel that runs Doom using 93 subagents in 12 hours for under $1,000. It also highlights automating 90% of eval analysis with 100 parallel hypothesis agents, emphasizing that these building blocks are not fixed and can be dynamically composed.
More from the Agent Memory and Harness Engineering trail
- From Context to Memory: Your Agents Need a Real Memory Layer — Anders Swanson, Oracle
- Designing CLIs for Agents, Not Humans — Pedro Lopez, Airbyte
- Building on the Codex Harness — Dominik Kundel, OpenAI
- Stop Prompting — Greg Pstrucha, Sentry
- Brains vs Hands: How to Run AI Agents Safely in Production — Viren Baraiya