Markdown source

Get Out of the Model's Way

Conference Context

Session Description

From autocomplete to chat to agents to agent orchestration...how do you build a product that scales with intelligence? What core primitives enable agents to operate at the technical (and non-technical) frontier? How can you best squeeze every ounce of capability out of your agentic dev tools? I'll answer all these questions and break down how Google Antigravity creates dynamic agent teams to solve complex tasks like building an OS-Kernal and automating research workflows.

Media Evidence

How Windsurf writes 90% of your code with an Agentic IDE - Kevin Hou, Windsurf (speaker-match related prior/adjacent AI Engineer video; captions: English auto-captions).

Evidence Graph

This evidence graph is generated from currently linked source material: official schedule text, related video pages, cached transcripts, visible slide text, dense/reconstructed slide pages, and AI slide-classification audits.

Media Signals

Agent Reading Notes

Use these signals to refine the synopsis, topic links, people/company context, and method notes. If a source is a related external video rather than an exact official recording, keep it framed as supporting evidence.

Transcript Status

Related video transcript availability: English auto-captions. Treat this as supporting context, not a recording of this exact scheduled session unless later confirmed. Not fetched yet.

People

Supporting Slides

Slide Evidence

Synthesis

Synthesized Breakdown

Get Out of the Model's Way ## Conference Context - Date/time: 2026-06-29 · 1:30pm-1:50pm - Track/room: Software Factories · Main Stage - Speaker(s): Kevin Hou - Session type/status: session · confirmed - Track: Software Factories - Room: Main Stage - Session type: session - Status: confirmed ## Session Description From autocomplete to chat to agents to agent orchestration...how do you build a product that scales with intelligence? What core primitives enable agents to operate at the technical (and non-technical) frontier? How can you best squeeze every ounce of capability out of your agentic dev tools? I'll answer all these questions and break down how Google Antigravity creates dynamic agent teams to solve complex tasks like building an OS-Kernal and automating research workflows.

Speaker And Company Context

Topics Covered

Derived Links And Source Material

Novel Concepts / Clever Methods

Evidence Boundary

This synthesis is based on the official schedule and linked source pages. It should be revisited when exact session recordings or transcript-backed secondary sources are available.