What Is Google Antigravity? New Gemini 3 Coding Guide

Google Antigravity is Google’s agentic development platform for planning, building, testing, and reviewing software with AI agents. It is more than a single model or a chat-based coding assistant: the current product combines an agentic IDE, a command-line interface, an SDK, and a command center for coordinating multiple local agents.

The original public-preview product has moved into a new lifecycle. As of July 30, 2026, Google describes Antigravity 2.0 as generally available. The platform now spans an IDE, CLI, SDK, and multi-agent command center, while the Individual plan is available at no charge.

For comparing the model layer before choosing a full coding environment, グローバルGPT provides a convenient browser route to Gemini 3.1 Pro and other current models for code explanations, planning, and side-by-side output checks.

Googleアンチグラビティとは何か？（中核的な定義と仕組み）

Google Antigravity is an AI-driven development environment that allows agents to work across an editor, terminal, and browser. Unlike traditional Gemini CLI workflows, Antigravity is organized around autonomous task execution: an agent can plan a change, modify files, run commands, test the result, and return evidence for review.

Antigravity 2.0 expands the original IDE concept into several connected surfaces:

• Antigravity IDE: a full development environment with an agent manager and Artifacts.
• Antigravity CLI: a terminal-first surface for working with agents from the command line.
• Antigravity SDK: a way to bring Antigravity capabilities into custom developer workflows.
• Agent command center: a place to manage multiple local agents, group conversations into Projects, work across multiple workspaces, and schedule routine tasks.

The simple distinction is that Gemini is a family of models, while Antigravity is a development product that orchestrates models, tools, files, terminals, browsers, and review artifacts. A broader look at Gemini 3 capabilities can help explain the model layer, but model access alone does not include Antigravity’s IDE, CLI, SDK, local-agent controls, or permission model.

Google Antigravityの主な特徴

Google has built Antigravity around delegated work, visible evidence, and multiple control surfaces. These features separate it from a coding chatbot that only suggests the next block of code.

1. エージェントファースト設計

Antigravity treats AI agents as task executors capable of:

• planning bounded development tasks;
• coordinating with other agents;
• editing and running code;
• operating a browser for task-related verification;
• running tests and producing progress reports.

This shifts development toward autonomous workflows, but human review still matters. Repository permissions, terminal access, generated diffs, test output, and deployment actions should be checked before changes are accepted.

2. 透明性を確保するための検証可能な「成果物」

One of the most useful ideas in Google Antigravity is its system of アーティファクト—structured records that make an agent’s work easier to review. Instead of relying on a long stream of tool logs, the developer can inspect the plan, changed files, validation steps, and relevant visual evidence.

アーティファクトとは一体何なのか？

Depending on the task and product surface, Artifacts can document:

• task lists and implementation plans;
• progress summaries;
• code diffs and file changes;
• editor or browser images;
• browser recordings;
• test results and other validation output.

They act as a proof-of-work layer that helps a developer audit what changed before accepting it. The concept is especially valuable when an agent uses tools or external services; for example, Gemini API cost and usage details belong in a separate billing check rather than being inferred from an agent log.

3. Editor View, Manager View, CLI, and SDK

The original product emphasized two interface modes. Antigravity 2.0 keeps that distinction but adds CLI and SDK routes.

編集者ビュー

• Works like a full development environment.
• Keeps hands-on coding close to the agent workflow.
• Fits tasks that require frequent manual inspection and editing.

管理者ビュー

• Coordinates multiple agents and conversations.
• Groups work into Projects and spans multiple workspaces.
• Acts as a command center for parallel or scheduled work.

The CLI offers a lighter, terminal-first route, while the SDK supports custom integrations. This makes “Antigravity vs. another IDE” an incomplete comparison: the product now covers more than an editor interface.

4. 強化されたフィードバックおよびコラボレーションツール

Artifacts create a review surface for plans, changes, and evidence. Feedback can be attached to the work instead of being buried in a long chat history, making revisions easier to trace.

5. Reusable Project Context and Procedures

Recurring development work benefits from reusable project instructions, procedures, and scheduled tasks. These features can reduce repeated setup, but they should not be treated as a guarantee that an agent “learns” every preference permanently. Project context and automation rules still need deliberate review.

How to Get Started with Google Antigravity 2.0

Antigravity is best approached as a controlled delegation environment, not as a prompt box with unlimited permission.

1. Download the official product. Start from the Google Antigravity download page and choose the current build for the device.
2. Choose the right surface. Use the IDE for visual editing and review, the CLI for terminal-first work, and the SDK for a custom integration.
3. Open a trusted workspace. Begin with a repository that has version control and a recoverable branch or backup.
4. Grant only the permissions the task needs. Browser, terminal, file, network, and deployment access can have different consequences.
5. Assign a bounded task. Define the files, acceptance checks, test command, and actions that require confirmation.
6. Review the evidence. Inspect Artifacts, diffs, commands, tests, and visual output before accepting changes.
7. Scale gradually. Move to parallel agents or scheduled work only after the single-agent workflow is predictable.

Deep reasoning can help with architecture, but a model setting is not a substitute for clear acceptance criteria. The separate explanation of Gemini Deep Think is useful background when evaluating reasoning modes, while the Antigravity product controls should be checked in current Google documentation.

Supported AI Models and Plans

Googleの Antigravity pricing page lists the product as generally available. On July 30, 2026, the Individual plan was shown at $0/month.

The older five-hour refresh claim is no longer the right summary. Google now describes basic weekly limits for the free plan and higher limits for paid plans. The detailed Antigravity plan documentation is the right place to check current quotas before a large task.

Developers comparing plan access may also want to check who can use Gemini 3 Pro, but that article describes model access rather than the complete Antigravity product.

“Vibe Coding” in Antigravity 2.0

Vibe coding uses natural-language instructions to turn an idea into working software. Antigravity can extend that workflow beyond code generation: agents can plan a feature, edit multiple files, run tests, inspect a browser result, and return evidence for review.

The practical advantage is the feedback loop, not a leaderboard score. A fast model may be useful for routine edits, while a stronger reasoning model may be better for architecture or difficult debugging. Neither removes the need to inspect dependencies, security-sensitive changes, tests, and deployment steps.

開発者にとってGoogleの反重力技術が重要な理由

Antigravity represents a shift in how development tools work. Instead of simply generating code, an agent can:

• plan a full solution;
• execute a bounded series of tasks;
• return reviewable evidence;
• manage multi-step operations;
• coordinate with other agents;
• work through an IDE, CLI, SDK, or manager surface.

This moves AI coding beyond autocomplete toward delegated development. The most important difference is not that the agent can act; it is that the developer can define boundaries and inspect the resulting work. Broader model-selection questions, such as Claude vs. ChatGPT for coding, remain separate from choosing the development platform that will orchestrate those models.

Google Antigravity vs. Cursor and Windsurf

The best choice depends on how much work should be delegated and how much should stay under direct editor control. Competitor features change quickly, so this table compares workflow shape rather than volatile model menus.

Antigravity is the stronger fit when a command center, CLI/SDK extensibility, and review Artifacts matter. An editor-centered tool may be simpler when the developer wants to make each decision directly. Model quality and model price are another layer; a Claude Opus 5 vs. GPT-5.6 comparison can inform that layer without deciding the IDE question by itself.

最終的な感想

Google Antigravity is no longer just a new Gemini 3 preview. Antigravity 2.0 is a generally available agentic development platform built around an IDE, CLI, SDK, multiple local agents, Projects, scheduled work, and reviewable Artifacts.

Choose it when coordinated delegation and evidence-based review are more valuable than staying inside a conventional editor workflow. Start with one bounded task, inspect every change, and expand permissions or parallelism only after the process is reliable.

For model comparison outside the Antigravity product, Gemini 3.1 Pro on GlobalGPT provides a separate route for testing model output. It does not provide Antigravity’s IDE, CLI, SDK, or agent-management features.

よくある質問

What is Google Antigravity?

Google Antigravity is Google’s agentic development platform. Antigravity 2.0 combines an AI-enabled IDE, CLI, SDK, and manager for coordinating local agents, workspaces, scheduled tasks, code changes, tests, and review evidence.

Is Google Antigravity free?

Yes. Google’s pricing page listed the Individual plan at $0/month on July 30, 2026. It included basic weekly model limits, while Google AI Pro and Ultra offered more generous limits and flexible AI credits.

Is Antigravity a model or an IDE?

Antigravity is a development platform, not a model. Its product surfaces include an IDE, CLI, SDK, and agent manager. It can use Gemini and selected third-party models to perform development tasks.

What changed in Antigravity 2.0?

Antigravity 2.0 expanded the product beyond the original agentic IDE. Google added a command center for multiple local agents, Projects, multi-workspace operation, scheduled messages, a CLI, an SDK, and an organizational route through Google Cloud.

Which models does Google Antigravity support?

On July 30, 2026, the free Individual plan listed Gemini 3.5 Flash, Gemini 3.1 Pro, Gemini 3 Flash, Claude Sonnet & Opus 4.6, and gpt-oss-120b. The official pricing page should be rechecked because the model menu can change.

How is Google Antigravity different from Cursor or Windsurf?

Antigravity 2.0 is broader than an editor alone: it combines IDE, CLI, SDK, multi-agent management, Projects, scheduled work, and Artifacts. Cursor and Windsurf may suit developers who prefer a more editor-centered, hands-on workflow.

Can GlobalGPT run Google Antigravity?

No verified evidence shows that GlobalGPT provides the Antigravity IDE, CLI, SDK, or agent manager. GlobalGPT can provide separate access to supported AI models for chat and comparison, which is not the same product experience.