Google DeepMind just turned its agentic coding platform into a scientific workbench. At Google I/O, the company launched Science Skills for Google Antigravity -- a specialized toolkit that wires more than 30 major life science databases directly into an AI agent, letting researchers run complex bioinformatics workflows through natural language in minutes rather than hours. It is part of a broader push called Gemini for Science, Google's most coordinated bet yet on AI as a genuine research accelerator.
The announcement was co-authored by Pushmeet Kohli, Vice President at Google DeepMind and Chief Scientist at Google Cloud, and Yossi Matias, VP and General Manager of Google Research. James Manyika, Senior Vice President at Google-Alphabet, also shared the stage for the announcement. Two validation papers -- for Co-Scientist and ERA -- landed in Nature the same day.
What Antigravity Actually Is
Before diving into Science Skills, it helps to understand the platform it lives on. Google Antigravity is an agentic development platform whose core is a familiar AI-powered IDE experience, but it evolves the IDE toward an agent-first future with browser control capabilities, asynchronous interaction patterns, and a product form factor that enables agents to autonomously plan and execute complex, end-to-end tasks.
The underlying editor is a heavily modified fork of VS Code -- familiar enough that any VS Code user can sit down and start working -- but the value proposition is the layer on top: autonomous agents that read, write, and run code, with you supervising rather than driving. Think of it less like Copilot and more like a mission control room where you assign tasks and agents execute them in parallel. Antigravity is available for free in public preview for Mac, Windows, and Linux, with generous rate limits for Gemini 3 Pro usage.
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