Google Antigravity

What is Google Antigravity?

Google Antigravity is a next-generation integrated development environment (IDE) that fundamentally reimagines how developers work with AI assistance. Rather than treating AI as a tool within the editor, Antigravity inverts this relationship by embedding the editor, terminal, and browser within an autonomous AI agent's workflow. Powered by Gemini 3 Pro along with support for Claude Sonnet 4.5 and GPT-OSS, the platform allows developers to describe high-level software goals in natural language while intelligent agents autonomously handle planning, implementation, testing, and verification. The platform runs on Windows, Mac, and Linux, and is available as a free public preview. Antigravity is built on four core principles: Trust (transparent verification of agent work), Autonomy (agents operate independently across development surfaces), Feedback (iterative refinement through intuitive commenting), and Self-Improvement (agents learn from past tasks).

Key Features

• Agent-First Architecture

  Autonomous AI agents that can spawn multiple parallel workflows and operate independently across the code editor, terminal, and browser simultaneously through dedicated Mission Control interface.

• Transparent Work Verification

  Comprehensive artifacts including task lists, implementation plans, screenshots, browser recordings, and execution walkthroughs that provide complete visibility into how agents complete tasks.

• Multi-Model Support

  Flexible access to top-tier AI models including Gemini 3 Pro, Claude Sonnet 4.5, and GPT-OSS, allowing developers to choose the most suitable model for specific tasks.

• Iterative Refinement Through Feedback

  Comment-based feedback system similar to Google Docs that enables developers to guide agents toward desired outcomes without micromanaging implementation details or restarting tasks.

• Real-Time Code Validation

  Agents automatically verify completed work by running applications in Chrome, executing integration tests, and presenting interactive walkthroughs of the final product.

Use Cases

• Full-Stack Application Development : Developers can describe application requirements in natural language, and agents autonomously generate, test, and validate complete end-to-end software solutions.
• Complex Code Refactoring : Large-scale codebase modifications that require understanding context across thousands of lines can be delegated to agents for accurate, multi-step transformations.
• Interactive UI/UX Development : Designers and developers can create interactive user interfaces and dynamic views on-demand using Visual Layout and Dynamic View capabilities powered by Gemini 3's multimodal understanding.
• API Integration and Testing : Agents handle real-time API testing, mock dependencies, validate responses against schemas, and establish ephemeral backends for integration verification during development.
• Data-Driven Dashboard Creation : Build custom analytical dashboards and data visualization applications where agents process requirements and generate production-ready implementations with domain-specific datasets.

FAQs