Designing a team of agents
Summary
Google Antigravity has introduced support for building autonomous teams of specialized agents, including roles like Sentinel, Orchestrator, Explorer, Worker, Reviewer, Critic, and Auditor, each with distinct responsibilities rather than a single generalist agent.
Similar Articles
Google Antigravity 2.0
Google Antigravity 2.0 is a desktop app for orchestrating multi-agent AI workflows, allowing users to manage and coordinate multiple AI agents from a single interface.
Google tests screen sharing and custom agents in Antigravity (2 minute read)
Google is testing new features in its Antigravity IDE, including screen sharing for developers to show external contexts to agents and support for custom agent scripts and plugins.
How to build an AI team?
This article outlines essential best practices for deploying and monitoring AI agent teams, stressing precise job definitions, continuous oversight, and stable cloud infrastructure. It evaluates several agent runtimes and hosting platforms while comparing their operational costs to traditional human roles.
@0xMovez: Head of Google Antigravity just showed their flagman agent-first IDE in action under 30-mins 25-minutes. free. by Googl…
Google DeepMind's 'Antigravity' division demoed an agent-first IDE that allows AI agents to plan, code, browse, validate themselves, and self-educate, all under 30 minutes.
@googledevs: Agent development is moving forward. While production scaling traditionally required manual infrastructure setup and pr…
Google announces the official launch of Managed Agents in the Gemini API, enabling agent development with zero infrastructure overhead. The article also highlights AGENTS.md, an open format for providing context to AI coding agents, adopted by over 60k open-source projects.