Google Antigravity is an agentic development platform: you can give an AI agent a multi-step software task, then review the code changes and evidence of its work. In the IDE workflow, an agent can edit code, use a terminal to run an application, and use a browser to check the result. Antigravity has expanded beyond that original IDE: Google’s current documentation describes a product family that also includes a desktop command center, a terminal interface, and a framework for building custom agents.
What is Google Antigravity?
Google introduced Antigravity as an AI-first development environment built around agents rather than only inline code suggestions. A developer can delegate a feature or bug fix; the agent can plan work, change files, run tools, and report back. The point is to let an agent handle a sequence of development actions while the developer monitors and reviews the result.
Google’s launch description presents this as work across the editor, terminal, and browser: an agent might implement a frontend feature, launch it from the terminal, and use a browser to test it. That describes the platform’s intended capability, not a guarantee that every task will succeed or that the result is correct.
“Antigravity” now refers to more than the original IDE. Google documentation describes several surfaces for working with agents, so the right choice depends on whether you want to code in an editor, coordinate work across projects, stay in a terminal, or build your own agents.
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1. Choose a surface and workspace
The IDE connects an agent to a coding workspace for direct, editor-centered development. Google describes a separate Manager design for delegating asynchronous work across workspaces. The newer Antigravity 2.0 desktop app is described as a command center for coordinating agents; the CLI provides a terminal-centered interface; and the SDK is a Python framework for custom agents, tools, and lifecycle hooks.
2. Give the agent a development task
Describe the feature, bug, or other software task you want addressed. The agent can plan and carry out multiple steps rather than responding with only a code snippet. Google’s launch example has the agent writing a frontend feature, starting it through a terminal, and checking it in a browser.
3. Track progress at the task level
Google says tool calls are grouped into tasks, with high-level summaries and progress made visible to the user. This is intended to make an agent’s activity easier to follow without requiring you to interpret every underlying tool call.
4. Review the artifacts and give feedback
Antigravity artifacts are records of the agent’s work that a person can inspect. Depending on the task, they can include a task list, implementation plan, walkthrough, screenshots, browser recordings, or code diffs. Google describes users reviewing artifacts and giving feedback that can be incorporated while the agent continues.
Artifacts improve visibility; they are not proof of correctness. Review the actual diff, check whether the application behaves as intended, and run appropriate tests before relying on a change.
5. Delegate parallel work when it fits
Google’s IDE documentation describes parallel subagents working across workspaces or codebases, while current product materials describe asynchronous agents and parallel local subagents. This can help organize independent work, but running more than one agent does not guarantee a faster or better result. Parallel changes may still need coordination and careful review.
What is the difference between Antigravity IDE and Antigravity 2.0?
The IDE is an editor-centered surface for coding alongside an agent. Antigravity 2.0 is described as a standalone desktop command center for managing agents across projects and workspaces. Google’s current documentation also describes CLI and SDK options:
| Surface | Best fit | Distinction |
|---|---|---|
| Antigravity IDE | Developers who want to write code directly alongside an agent | Editor-centered development. Google’s overview says the IDE is not supported for enterprise customers; for enterprise configurations, it directs users to Antigravity 2.0 or Antigravity CLI. |
| Antigravity 2.0 | Coordinating agents across projects and workspaces | A standalone desktop command center. Current documentation describes asynchronous task management, scheduled tasks, and voice transcription. |
| Antigravity CLI | Terminal-centered work, including SSH-style workflows | A keyboard-oriented terminal interface with prompt shortcuts, keybindings, and parallel subagent management. |
| Antigravity SDK | Developers building custom agents | A Python framework for custom agents, tools, and lifecycle hooks. |
Enterprise support is a meaningful distinction, not just a preference between interfaces: Google’s IDE overview specifically says the IDE is not supported for enterprise customers and identifies 2.0 or CLI for enterprise configurations. Product support can change, so consult the current documentation when selecting a surface.
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Can Antigravity agents use the terminal and browser?
Google describes agents that can use development tools beyond the editor. In its launch example, an agent writes a frontend feature, launches the application through a terminal, and checks it in a browser. The practical significance is that a task can include implementation and a check of the running result, rather than stopping at a proposed code change.
That workflow still calls for human review. A browser check or screenshot can show what happened in one observed run, but it does not establish that all cases work, that tests pass, or that the implementation is suitable for release.
What are Antigravity artifacts?
Artifacts are reviewable outputs associated with an agent task. Examples described by Google include plans, task lists, walkthroughs, screenshots, browser recordings, and code diffs. They give the developer a way to inspect what the agent intended and changed, then comment or redirect the work.
Use artifacts as an aid to review, not as a substitute for it. A plan explains an approach; a diff shows edits; a screenshot or recording captures a particular view. None alone confirms that the implementation meets requirements or behaves correctly in untested situations.
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What should you know about availability and pricing?
Google’s November 18, 2025 launch announcement said the individual public preview was available at no charge on macOS, Linux, and Windows. It also described access to Gemini 3, Anthropic Claude Sonnet 4.5, and OpenAI GPT-OSS, subject to capacity and rate limits refreshed every five hours. Those were launch terms, not confirmation of current pricing, supported models, quotas, or availability. Check Google’s current Antigravity information before making a decision based on those details.
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