Google Antigravity

Google Antigravity

Google Antigravity neural network description

Google Antigravity is an experimental development environment from Google built around an agent-based approach to programming. The tool is powered by the Gemini 3 Pro model, although other models are also supported. The key difference between Antigravity and regular IDEs is that AI agents here don't just complement code — they act as full-fledged partners: they write code themselves, run it, test it, and verify the result.

The developer formulates tasks in natural language, and agents work across multiple environments at once — in the code editor, terminal, and web browser. They can also perform tasks in parallel across different workspaces. All agent actions are recorded as artifacts: plans, screenshots, reports, browser recordings, and test results, which makes the development process transparent and documented.

Essentially, Antigravity combines several components into a single ecosystem: an IDE, a command-line interface (CLI), the Antigravity 2.0 environment for managing multiple agents, and an SDK. The tool is available as a free public preview for Windows, macOS, and Linux.

Google Antigravity characteristics

Characteristic	Value
Type	Development environment (IDE) with AI agents
Developer	Google
Main AI model	Gemini 3 Pro
Supported models	Gemini 3 Pro, Claude Sonnet 4.5, GPT-OSS
Category	Development, code generation, AI assistants
Platforms	Windows, macOS, Linux, Web
Formats	IDE, CLI, MCP, SDK
Distribution model	Free (free public preview)
VPN required	No
Russian language	Yes
Russian interface	No

Who is Google Antigravity suitable for?

Developers working with AI agents

Antigravity is primarily designed for developers who want to use AI agents as full-fledged partners for writing, testing, and reviewing code, rather than just as autocomplete or a hinting tool.

Frontend teams and technical leads

The Browser-in-the-loop mode makes the tool especially useful for frontend developers: the agent can work with a browser to check interfaces and return visual artifacts. This is also interesting for technical leads who need an agent alongside code, terminal, and browser.

Developers looking for autonomy and experimentation

It suits those who work with code daily and want to delegate routine actions to an agent, as well as those who prototype and experiment with new development approaches.

How to use Google Antigravity?

Installation and first steps

Antigravity can be downloaded for Windows, macOS, or Linux. For full use, it is recommended to register on the website. Some users have noted that setting up an API key may be required to run it, and difficulties sometimes arise here.

Getting started on a small project

It's best to start with a small project: open it in the environment, keep manual command confirmations enabled, and ask the agent to first build a plan without making changes. This will help you understand the agent's logic and check its suggestions before it starts modifying files.

Gradually increasing task complexity

After getting familiar with the tool, give the agent a small task along with a test and review the resulting artifacts. This way, you'll confirm the agent can handle real work and understand how to control the outcome through plans, reports, and screenshots.

Main functions of Google Antigravity

Multi-layered agents and parallel work

Multiple AI agents can work simultaneously in different workspaces. They are managed through the Manager View, allowing you to run several work branches without manually switching between assistants. The Antigravity 2.0 environment serves as a command center for multiple local agents, with conversation grouping into projects and background tasks.

Browser-in-the-loop

The agent can work with a web browser to check the frontend, run interface tests, and return visual artifacts — screenshots and browser recordings. This allows automated interface testing without additional tools.

Artifacts and feedback

Every agent action is documented as artifacts: task plans, reports, screenshots, browser recordings, and test results. The user can leave comments on artifacts, just like in Google Docs, making it possible to influence the development process.

Ecosystem tools

These include the Antigravity IDE with autocomplete and natural language commands, the Go-based Antigravity CLI for asynchronous scenarios (refactoring, research) in the background, as well as support for dynamic subagents, Skills, MCP, and JSON Hooks. Agents also remember code fragments and task patterns, learning from work on the project.

Advantages of Google Antigravity

Real agent autonomy

Agents can independently perform tasks — write, test, and review code, rather than just suggesting or completing fragments. This noticeably speeds up development, especially through automatic interface testing via the browser.

Transparency and documentation

Every agent step is recorded as artifacts, providing increased process transparency. The developer can see exactly what the agent did and leave comments on its work. This also helps document the development process.

Unified ecosystem of tools

The combination of IDE, CLI, Antigravity 2.0, and SDK reduces the gap between local work and background agent tasks. Support for Projects, Skills, MCP, and Hooks allows you to codify team rules if described in advance. Additionally, free early access is offered.

Disadvantages of Google Antigravity

Preview status and technical limitations

The tool is in public preview, so errors, agent crashes, and quota limitations are possible. Some users have encountered issues with API key setup or limits.

Version control risks

Auto-generation can modify project files, so careful version control management is required. Using Git is strongly recommended to avoid losing control over changes.

Transition from Gemini CLI

Antigravity replaces Gemini CLI, but Google has not promised full parity. The transition may break existing extensions and scripts. In addition, rate limits and AI credits need separate verification before long agent tasks.

What tasks does Google Antigravity solve?

Working with code and tests

The tool allows you to assign agents tasks for writing, editing, and refactoring code, as well as updating and running tests. You can assign fixing a UI defect, analyzing several modules, or preparing a migration.

Checks and audits

Antigravity is suitable for running project checks and performing routine code audits. The agent analyzes context, suggests changes, and helps navigate large codebases, quickly finding the right sections.

Parallel work and background scenarios

The environment supports multiple work branches without manually switching between assistants, and the CLI allows running asynchronous scenarios (e.g., research or refactoring) in the background. This is useful for planning, documenting the development process, and parallel complex task solving by multiple agents.

Google Antigravity pricing

Antigravity is available as a free public preview. There is also a free individual plan for $0 per month.

Paid options include the Google AI Pro and Google AI Ultra plans, whose price depends on the subscription to the corresponding Google service. For enterprise clients, a separate Organization plan is available through Google Cloud for Gemini Enterprise Agent Platform customers. Rate limits and AI credits should be checked separately depending on the chosen plan.

Terms of use for Google Antigravity

Full use requires registration on the website. The free plan has basic weekly limits, and the preview version has quotas and possible restrictions.

For corporate use, a separate pilot through Google Cloud is required with verification of limits, logging, and rules for working with source code. For long agent tasks, it's worth checking rate limits and AI credit consumption in advance.

Google Antigravity availability

The tool is available for Windows, macOS, and Linux, as well as in the form of IDE, CLI, and MCP. No VPN is required. The official website is antigravity.google, and the interface is in English.

Russian language is supported when working with the tool, but there is no Russian-language interface.

How Google Antigravity differs from alternatives

The main difference between Antigravity and classic AI coding assistants lies in the agent-based approach. While most tools merely complete code or suggest changes, Antigravity gives agents real autonomy: they write, test, and review code themselves, working in the editor, terminal, and browser simultaneously. Additionally, parallel work of multiple agents in different workspaces is offered.

The difference also lies in process transparency: agent actions are documented as artifacts that can be commented on — such a mechanism is rarely found in alternatives. Essentially, Antigravity combines the functions of a classic IDE, an autonomous agent platform, and a tool for automatic interface testing. Among similar solutions mentioned in sources are Google AI Studio and Google Opal, as well as tools such as Amma, Base44, Luma, and Refraction.

Conclusion

Google Antigravity is an experimental next-generation development environment from Google built around autonomous AI agents that can independently write, test, and review code. The tool combines IDE, CLI, Antigravity 2.0 environment, and SDK into a single ecosystem, supports parallel agent work, and offers a transparent process by documenting actions as artifacts. Despite its preview status with a number of technical limitations, quotas, and the need for careful version control management, Antigravity is available for free and is already of interest to developers and teams who want to delegate some tasks to agents and experiment with an agent-based approach to development.