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Google's Antigravity: An 'Agent-First' Coding Tool for Gemini 3

AI Google Gemini 3 Antigravity Agent-First Developer Tools Tech
November 18, 2025
Viqus Verdict Logo Viqus Verdict Logo 8
Verifiable Intelligence
Media Hype 7/10
Real Impact 8/10

Article Summary

Google's Antigravity is a novel development tool intended to facilitate a new paradigm in AI coding. Built upon Gemini 3 Pro, it’s designed as an 'agent-first' tool, granting its integrated AI agents direct control over browsers, terminals, and other external tools. A key feature is the generation of ‘Artifacts’ – detailed records of the agent’s work, including task lists, screenshots, and browser recordings. This system aims to provide users with verifiable proof of the agent’s actions. Antigravity also allows agents to report on their ongoing tasks and external tool usage. The tool offers two distinct views: a familiar IDE-style Editor view and a Manager view optimized for controlling multiple agents simultaneously. Google is emphasizing user verification through these Artifacts, comparing it to a ‘mission control’ environment. Furthermore, agents can learn from past work and retain specific snippets of code. The tool is available in public preview on Windows, macOS, and Linux, offering access to Gemini 3 Pro, Claude Sonnet 4.5, and GPT-OSS, with generous rate limits.

Key Points

  • Google has launched Antigravity, a coding tool built on Gemini 3 Pro, designed with an ‘agent-first’ architecture.
  • Antigravity generates ‘Artifacts’ – detailed records of the agent's work (task lists, screenshots, browser recordings) for verification.
  • The tool provides two usage views: a traditional IDE and a manager interface for controlling multiple agents simultaneously.

Why It Matters

Antigravity represents a significant step towards realizing the potential of AI agents in software development. By providing verifiable evidence of an agent’s actions through ‘Artifacts,’ Google is tackling a critical challenge – trust and accountability – in the growing field of AI-powered coding. This innovation could dramatically change how developers interact with and manage AI assistants, potentially accelerating the adoption of agent-based software development.

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