What Is Google Antigravity?
- Agent-First IDE
- It’s built around AI agents (not just code suggestions). These agents can plan, write, test, and verify code more autonomously. Google Developers Blog+2Real Python+2
- Agents have access to:
- Editor (like a code IDE) Google Developers Blog+1
- Terminal Google Developers Blog
- Browser (they can control a browser to test web apps) India Today+2Google Developers Blog+2
- Artifact Generation for Transparency
- Agents produce “Artifacts” — these are like verifiable records of what they do: task lists, implementation plans, screenshots, even browser recordings. Google Developers Blog
- This helps you audit and review what the AI did (so it’s not a black box). GlobalGPT+1
- Multiple Views / Interfaces
- Editor View: Like a normal IDE (similar to VS Code) but with agent assistance. Google Developers Blog+1
- Manager View: A “mission control” for managing multiple agents across different tasks / workspaces. Google Developers Blog
- Model Support
- Primarily built for Gemini 3 Pro (Google’s model) Wikipedia
- Also supports other models like Claude Sonnet 4.5 and GPT-OSS. Google Developers Blog+1
- Availability
- It’s in public preview right now. Google Developers Blog
- Supported platforms: Windows, macOS, Linux. Google Developers Blog
- Google says there are “generous rate limits” for usage. The Times of India
How to Download / Use It
- Go to the Antigravity Website
- Visit:
https://antigravity.google/ - This is the official page. Google Developers Blog+1
- Visit:
- Download the Installer
- On the Antigravity website (“Build with Google Antigravity” blog / dev page) Google mentions a download link for Windows, macOS, and Linux. Google Developers Blog
- The link is something like
antigravity.google/download(mentioned in Google’s dev blog). Google Developers Blog
- Install and Sign In
- Using Agents
- You can spawn agents to do tasks: write code, test, run browser checks, etc.
- Review the Artifacts they produce to verify what they did.
- Feedback & Iteration
- You can give feedback on the artifacts (e.g., comment on the plan or a screenshot), and the agents will adapt. Google Developers Blog
- Agents can also learn from past work (knowledge base) to improve future tasks. Google Developers Blog
Pros and Considerations
Pros:
- Very powerful: agents can automate full workflows.
- Transparent: artifacts make it easier to trust what agents are doing.
- Multi-agent orchestration: good for complex or parallel tasks.
Considerations / Risks:
- It’s still in preview, so there may be bugs. Some users on Reddit reported instability or login issues. Reddit+2Reddit+2
- Rate limits: although “generous,” heavy usage might hit caps. India Today
- It requires a Google login / account setup.
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