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Google Antigravity Review

Google Antigravity is an AI-powered integrated development environment (IDE) by Google, prioritizing autonomous AI agents for software development.

shipped Apr 2, 2026updated May 27, 2026aifreemium
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Google Antigravity - AI tool

Why it matters

1Released in public preview on November 18, 2025, alongside Google Gemini 3.
2Offers a freemium model with varying API rate limits, including a free public preview tier.
3Achieved ISO and SOC2 compliance, with a 90-day data retention policy.
4Utilizes Google's Gemini 3.1 Pro and Gemini 3 Flash models for agent operations.

Stork’s verdict on Google Antigravity

Google Antigravity offers impressive autonomous agent orchestration for complex tasks, but its agent-first paradigm may disrupt existing workflows.

About Google Antigravity

Headquarters
Mountain View, USA
Platforms
Linux
Target Audience
Developers

Pricing Plans

Free for Developers
Free
  • Tab autocompletion
  • Natural language code commands
  • Synchronized agentic control
  • User feedback integration

Specs

API Available

Yes, public API

overview

What is Google Antigravity?

Google Antigravity is an AI-powered integrated development environment (IDE) tool developed by Google that enables software developers to orchestrate autonomous AI agents to plan, execute, and verify complex engineering tasks. It operates on an 'agent-first' paradigm, primarily powered by Google's Gemini 3.1 Pro and Gemini 3 Flash models. Announced on November 18, 2025, alongside the release of Gemini 3, Google Antigravity allows developers to delegate complex coding tasks to AI agents. These agents autonomously plan, execute, and verify tasks across the editor, terminal, and an integrated browser. Key functionalities include planning, writing, testing, and verifying code, debugging, generating documentation by analyzing project files and functions, and optimizing code for performance. The platform is designed to handle multi-tool software tasks, enabling agents to manage end-to-end workflows such as writing new features, launching applications via the terminal, and testing them in a browser. It also supports routine tasks like codebase research and bug fixes.

features

Key Features of Google Antigravity

Google Antigravity provides a suite of features designed to enhance software development through autonomous AI agents, integrating advanced AI capabilities directly into the development workflow.

  • Tab autocompletion for efficient coding.
  • Natural language code commands for intuitive interaction with AI agents.
  • Synchronized agentic control for managing AI agent operations.
  • User feedback integration to refine agent performance and outputs.
  • Management of multiple AI agents working in parallel across workspaces.
  • Autonomous planning, execution, and verification of complex engineering tasks across editor, terminal, and browser.
  • Integrated browser for application testing and verification, generating verifiable deliverables.
  • Generation of verifiable deliverables, including task lists, implementation plans, screenshots, and browser recordings.
  • Debugging capabilities to identify code issues and suggest fixes.
  • Code optimization suggestions for improved performance and efficiency.
  • Automatic documentation generation by analyzing project files, functions, and relationships.

use cases

Who Should Use Google Antigravity?

Google Antigravity is primarily designed for software developers seeking to leverage autonomous AI agents for various stages of the software development lifecycle, from planning to verification.

  • Software Developers: For delegating complex coding tasks to autonomous AI agents and streamlining development workflows.
  • Frontend Developers: For planning, coding, and testing web applications with an integrated browser agent and generating verifiable outputs.
  • Full Stack Developers: For orchestrating multiple AI agents working in parallel across editor, terminal, and browser workspaces to manage end-to-end tasks.
  • Enterprise Developers: For handling multi-tool software tasks, generating verifiable deliverables, and ensuring compliance with standards like ISO and SOC2.
  • Developers requiring automated testing: For testing and verifying applications with a browser agent, tightening the loop between coding and verification.

pricing

Google Antigravity Pricing & Plans

Google Antigravity operates on a freemium model, offering a free public preview tier with varying rate limits, and paid tiers that utilize AI credits for expanded usage. Pricing for paid tiers is dynamically correlated with the amount of work performed by the agent and is based on Vertex AI API pricing for token consumption.

  • Free for Developers (Public Preview): Free, includes generous weekly API rate limits.
  • Google AI Pro plans: Variable (AI credits), offering a high, generous API quota refreshed every five hours until a weekly limit is reached. Additional usage beyond the baseline quota is covered by purchasing AI credits at Vertex API pricing.
  • Google AI Ultra or Google Workspace AI Ultra for Business plans: Variable (AI credits), providing the highest, most generous API quota refreshed every five hours, with no weekly API rate limit. Additional usage beyond the baseline quota is covered by purchasing AI credits at Vertex API pricing.
  • API Usage (Gemini 3 Pro): Internal references indicate token-pricing at approximately $0.002 per 1k input tokens ($2 per million input tokens) and $0.012 per 1k output tokens ($12 per million output tokens) when AI credits are consumed at Vertex API pricing.

Similar Tools

Google Antigravity vs Competitors

Google Antigravity is positioned as an 'agentic development platform' focusing on autonomous AI agents for orchestrating and verifying complex software tasks. It differentiates itself from traditional AI code assistants by emphasizing agent autonomy and parallel workflows.

1
Gemini Code Assist

It integrates Google's Gemini AI directly into IDEs and the terminal for comprehensive software development lifecycle support, including multi-file edits and full project context.

Similar to Google Antigravity, Gemini Code Assist provides an agent-first approach across the editor and terminal, offering a freemium model for individuals and enterprise options for teams.

2

CrewAI is an open-source Python framework specifically designed for orchestrating collaborative, role-playing autonomous AI agents into teams to complete complex tasks.

Unlike Google Antigravity, which is presented as a comprehensive platform, CrewAI is a framework, offering developers more granular control and flexibility in building their agentic systems, with an open-source (free to use) model.

3

It is an open-source framework from Microsoft for building multi-agent AI systems that can converse and collaborate to solve tasks, including software engineering workflows.

Similar to CrewAI, AutoGen is an open-source framework for multi-agent orchestration, providing a foundational layer for developers to build agentic solutions, whereas Google Antigravity is described as a more integrated, agent-first development platform.

4
Kiro

Kiro focuses on autonomous agents that work independently on development tasks, planning, coding, testing, and creating pull requests across multiple repositories.

Kiro directly competes by offering an autonomous agent that handles complex engineering tasks across repositories, similar to Antigravity's agent capabilities, but appears to be a distinct product with a preview/paid model rather than a broad platform.

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