Google Antigravity bets models manage themselves

Google Antigravity 2.0 splits the IDE from its agent manager and bets on teams of sub-agents that build kernels and eval reports, but key triggers remain gated.

Google Antigravity 2.0 agent manager showing sub-agents and generative UI
Antigravity 2.0 mission control for agent teams· AI Engineer

Kevin Hou told AI Engineer that Google Antigravity 2.0 separates the agent manager from the IDE, letting models run their own teams.

Google Antigravity bets models manage themselves - AI Engineer
Google Antigravity bets models manage themselves, AI Engineer

He described the new primitives as dynamic sub-agents that spin up in parallel, each with its own model and environment, plus generative UI from Gemini 3.5 Flash that can spit out dashboards at nearly 900 tokens per second, and long-lived sidecars that listen for webhooks, SMS and scheduled tasks.

The showcase leaned on a hero demo that built an OS kernel and ran Doom with 93 sub-agents over 12 hours for under $1,000, but without code, benchmarks or failure modes to inspect, which leaves reproducibility unclear.

Sidecars that listen to the outside world and an agent that freely spins up sandboxes and remote executors widen the attack surface, yet Hou offered no permission model, audit trail or patch story beyond the promise that smarter Google DeepMind models make better choices.

Antigravity CLI brings multi-step reasoning, multi-file editing, tool calling and persistent history directly to the terminal.

Until the slash command /teamwork leaves preview with reproducible evals and clear controls for those sidecars, Antigravity 2.0 bets that intelligence will cover for infrastructure that’s still gated.

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Daniel Singer

Written by

Daniel Singer

Editor, StartupHub.ai

Daniel Singer is the editor of StartupHub.ai, a technology expert and thought leader on AI and its applications across sectors, from fintech and healthcare to developer tooling and consumer software. He writes and tests the tools covered here thoroughly and regularly, and built StartupHub.ai to give founders, operators and buyers a clearer read on what they are actually being sold.