Google AntiGravity Review 2025: Vibe Coding Tool Guide & Comparison

Quick definition: Google AntiGravity is an agent-first, VS Code–style IDE that ships with a Manager surface for mission control, multi-agent workflows that coordinate the editor/terminal/browser, a built-in browser for live testing, and a generous free preview with Gemini 3 Pro, Claude Sonnet 4.5, and GPT-OSS support.

One-minute highlights

• Multi-agent mission control that plans, delegates, and audits work with artifacts.
• Built-in browser so agents can QA web apps, scrape data, or capture screenshots without context switching.
• Free preview with rotating rate limits; paid tiers expected once usage stabilizes.
• Model choice (Gemini 3 Pro, Claude Sonnet 4.5, GPT-OSS) and a VS Code fork UI for familiar shortcuts.
• Best used in a sandbox or VM—powerful agents can issue aggressive commands.

Jump to the specs? Visit the dedicated Google AntiGravity tool page for feature lists, theme colors, signup links, and related reads.

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Table of contents

• Introduction to AntiGravity
• Core Features
• Pricing and Hidden Costs
• Getting Started
• Pros and Cons
• Antigravity vs Competitors
• Who Should Use AntiGravity?
• FAQ
• Conclusion

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Introduction to AntiGravity

AntiGravity is Google’s agentic development platform: a VS Code fork that defaults to multi-agent collaboration instead of single-agent autocomplete. You operate from two main surfaces—Manager (mission control) and Editor (code)—while agents also run in the terminal and a built-in Chromium browser.

What is an agentic development platform?

An agentic platform coordinates multiple specialized AI workers. One agent plans the work, another edits files, another runs tests, and another browses the web. AntiGravity’s artifact trail (tasks, plans, logs, screenshots) makes those decisions auditable so you can correct direction mid-run.

Brief history: Windsurf lineage and Google’s AI IDE experiments

AntiGravity builds on the VS Code ecosystem and borrows ideas from Windsurf and other agentic IDEs: inline composer prompts, mission control views, and browser-integrated debugging. Google’s spin is the agent manager surface, which explicitly shows which agent owns which subtask and captures artifacts in real time.

Core Features of Google AntiGravity

Agent-first architecture and multi-agent workflows

• Plan-driven missions that split into subtasks across editor, terminal, and browser.
• Agents run concurrently, reducing wait time for long tests or refactors.
• Artifact logging (task lists, implementation plans, run logs) keeps visibility high.

Manager vs Editor surfaces

• Manager (Mission Control): Define missions, assign models, review artifacts, and reprioritize subtasks.
• Editor: Familiar VS Code fork with agent suggestions, diff views, and inline chat for quick fixes.

Artifact generation and mission control

Agents produce artifacts—plans, screenshots, browser recordings, and test results—so you can replay or audit what happened. This is especially useful for sensitive repos where you want to know why a command ran.

Integrated browser and support for complex tasks

A headless-but-visible browser window lets agents run e2e tests, scrape data, or render UI changes. Complex missions (e.g., “refactor auth, write docs, and validate checkout flow”) can run in parallel instead of serially.

Pricing, Plans and Hidden Costs

Free preview and rate limits

• Current pricing: $0/month individual preview with rotating rate limits that reset every ~5 hours.
• Included models: Gemini 3 Pro, Claude Sonnet 4.5, and GPT-OSS without extra configuration.

Token-based pricing and potential paid tiers

• Expect token-based metering once preview ends; heavy usage (long tests, browsing sessions) will likely consume more credits.
• Team or enterprise tiers could introduce reserved throughput, SOC2 controls, and SSO—watch the roadmap before anchoring your budget.

Step-by-Step: Getting Started with AntiGravity

Installation on Mac, Windows or Linux

1. Download installers from antigravity.google for macOS, Windows, or Linux.
2. Install like a VS Code fork; allow network permissions for the built-in browser.
3. Log in with your Google account (preview currently prefers personal Gmail accounts).

Setting up agents and first mission

1. Open the Manager surface and start a new mission (e.g., “Ship a marketing landing page with A/B-tested hero copy”).
2. Choose your model per agent: Gemini 3 Pro for reasoning, Claude Sonnet 4.5 for long-form writing, GPT-OSS for lightweight edits.
3. Set guardrails: repository path, allowed commands, and browser permissions.
4. Launch the mission and watch artifacts populate—task lists, plans, and terminal runs.

Best practices for prompt engineering

• Be explicit about outputs: “Create a PR with tests and a before/after diff.”
• Pin acceptance criteria in the mission description (performance budgets, linting requirements, design tokens).
• Ask for rationale: “Explain why you chose this layout or package.”
• Keep context local: paste key files or link to repo docs so agents avoid stale assumptions.

Pros and Cons of Google AntiGravity

Benefits: multi-agent productivity, transparency, generous free tier

• Parallel execution speeds up refactors, docs, and UI tweaks.
• Artifacts (plans, screenshots, browser recordings) provide transparency and easier debugging.
• Built-in browser removes the need for external Playwright sessions during preview.
• Free preview with access to Gemini 3 Pro and Claude Sonnet 4.5 lowers the barrier to experimentation.

Drawbacks: bugs, unpredictable behaviour, learning curve

• Agents can issue aggressive commands (e.g., chmod -R 777)—run inside a sandbox or VM.
• Occasional UI stalls on Windows builds; planning steps may feel slower than single-agent tools for tiny edits.
• Rate limits can throttle long missions; plan runs around the reset window.

Google AntiGravity vs Competitors

AntiGravity vs Cursor 2.0

• Architecture: AntiGravity is multi-agent with Manager + Editor + Browser surfaces; Cursor is a single-agent VS Code extension focused on in-context completions.
• Browser: AntiGravity ships a built-in browser for QA and scraping; Cursor relies on external tooling.
• Transparency: AntiGravity surfaces artifacts; Cursor keeps most reasoning invisible.
• Concurrency: AntiGravity runs tasks in parallel; Cursor sequences edits.

AntiGravity vs GitHub Copilot / CodeItBro analysis

• Copilot: Strong inline suggestions and GitHub integration, but single-agent and no browser mission control.
• AntiGravity: Better for multi-step missions and mixed UI/backend work; rougher edges during preview.
• Bottom line: If you need parallelism and visibility, AntiGravity wins; if you need stability and deep GitHub workflows, Copilot remains reliable.

Comparison table: AntiGravity vs Cursor 2.0 vs GitHub Copilot

Feature	Google AntiGravity	Cursor 2.0	GitHub Copilot
Architecture	Agent-first; multi-agent concurrency across editor, terminal, and browser	Single-agent VS Code extension; strong in-context assistance	Single-agent code completion
UI foundation	VS Code fork with Manager & Editor surfaces	VS Code extension; no mission control	Visual Studio & JetBrains integration
Model choice	Gemini 3 Pro, Claude Sonnet 4.5, GPT-OSS	OpenAI GPT-4 & Anthropic models	GPT-4 (Copilot Pro)
Free access	Free preview; generous rate limits resetting every ~5 hours	Paid subscription after trial	Paid plan (Copilot Pro)
Multi-agent operations	Yes (parallel tasks, mission control)	No (single-agent)	No
Built-in browser	Yes; lets agents test websites or fetch data	No	No
Transparency & artifacts	Task lists, plans, screenshots, browser recordings	Minimal; not emphasised	None
Limitations	Rate limits; occasional aggressive behaviour and bugs	Limited concurrency; slower context switching	Code-only context; limited to GitHub ecosystem

Pros and cons table

Aspect	Advantages	Disadvantages
Productivity	Multi-agent concurrency accelerates refactors, testing, and UI edits; built-in browser reduces context switching.	Learning curve to manage agents; planning step can feel slower for tiny changes.
Transparency & trust	Artifacts (plans, logs, screenshots) make agent behaviour auditable.	Agents may attempt unsafe operations; sandboxing recommended.
Pricing	Free preview with generous rate limits; multiple models included.	Token-based costs likely after preview; heavy use may be throttled.
Stability & support	Cross-platform installers; familiar VS Code fork UX.	Windows builds can be unstable; browser limited to Chromium; still experimental.

Who Should Use AntiGravity?

Solo developers, small teams and enterprises

• Solo builders & students: Great for rapid prototyping and learning agent workflows without paying upfront.
• Small teams: Use mission control to parallelize QA, docs, and UI polish while keeping artifact logs for reviews.
• Enterprises: Pilot in sandboxes; evaluate security controls, IAM, and observability before adopting widely.

Use cases: web development, game development, interactive design

• Web & SaaS: Parallelize frontend tweaks, API refactors, and e2e tests with browser artifacts for designers.
• Game & 3D: Use the browser surface for quick visual previews while agents update shaders or UI.
• Interactive design & data apps: Pair Claude Sonnet 4.5 for narrative content with Gemini 3 Pro for structured codegen.

FAQ

Is Google AntiGravity free to use? Yes. The public preview is free with access to Gemini 3 Pro, Claude Sonnet 4.5, and GPT-OSS. Expect token-based pricing once the platform exits preview, and watch for rate limits during heavy use.

How does Google AntiGravity compare to Cursor or other AI IDEs? AntiGravity uses multiple agents with Manager, Editor, and Browser surfaces plus artifacts. Cursor is a single-agent VS Code extension without mission control; Copilot is similar but focused on inline code suggestions.

What are the main features of Google AntiGravity? Multi-agent workflows, Manager vs Editor surfaces, built-in browser, artifact generation (plans, screenshots, logs), and model choice between Gemini 3 Pro, Claude Sonnet 4.5, and GPT-OSS.

Is Google AntiGravity safe? It is powerful but experimental. Early users reported aggressive commands like chmod -R 777. Run inside a sandbox or VM, set command allowlists, and use version control to audit changes.

Which models does AntiGravity support? Gemini 3 Pro, Claude Sonnet 4.5, and GPT-OSS are available in the preview. Choose per mission based on reasoning depth, speed, or cost.

Who should use AntiGravity? Solo developers, small teams, and hobbyists who want multi-agent workflows and free model access. Enterprises should pilot carefully and assess security and compliance needs.

Conclusion and Recommendations

Google AntiGravity pushes IDEs toward agent-first collaboration: mission control for planning, multi-agent execution across editor/terminal/browser, and artifact transparency so you can trust (or correct) each step. The free preview with Gemini 3 and Claude Sonnet 4.5 makes it easy to experiment, but treat it like a powerful beta: run in a sandbox, set guardrails, and expect occasional surprises.

If you value parallelism, visibility, and a built-in browser, AntiGravity deserves a spot in your toolkit. Compare it against Cursor and GitHub Copilot using the tables above, then start a mission on the tool page when you are ready to test multi-agent workflows in your own repo.

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