Google Antigravity
Google's new agentic development platform for building AI-powered applications. Enables developers to create autonomous agents with frontier intelligence capabilities.
Google Antigravity is an agentic development platform that empowers developers to deploy autonomous AI agents capable of planning, executing, and verifying complex tasks across editors, terminals, and browsers, fundamentally accelerating software engineering workflows.[1][4] Key features include multi-model support with Gemini 3 Pro for superior coding and reasoning (scoring 76.2% on SWE-bench Verified), an Agent Manager for orchestrating parallel agents, Artifacts system for verifiable outputs like implementation plans and screenshots, deep integrations via Chrome extension for UI testing, and Model Context Protocol (MCP) for secure access to Google Cloud data services like BigQuery and Looker.[1][2][4][5]
It targets coding beginners seeking rapid prototyping through instant UI generation and senior engineers handling maintainable architectures, multi-step projects, and data-aware applications.[3] What sets Antigravity apart is its agent-first architecture that transcends traditional IDEs like Cursor by enabling true autonomy, learning from a knowledge base, configurable permissions, and cross-platform availability at no cost in public preview, supporting models from Google, Anthropic, and OpenAI.[1][3][4]
Sources
- [1] https://antigravity.im/features
- [2] https://cension.ai/blog/google-antigravity-ai-what-is-it/
- [3] https://zeabur.com/blogs/google-antigravity-agentic-ide-features
- [4] https://developers.googleblog.com/build-with-google-antigravity-our-new-agentic-development-platform/
- [5] https://cloud.google.com/blog/products/data-analytics/connect-google-antigravity-ide-to-googles-data-cloud-services
The Privacy Policy explicitly states that Google uses publicly available information to train AI models: 'we may collect
The Privacy Policy explicitly states that Google uses publicly available information to train AI models: 'we may collect
High risk across multiple dimensions. Only use with public, non-sensitive data.
The Privacy Policy explicitly states that Google uses publicly available information to train AI models: 'we may collect information that's publicly available online or from other public sources to help train Google's AI models and build products and features like Google Translate, Gemini Apps, and Cloud AI capabilities.' Additionally, the policy indicates user content is used for 'service improvement' and model development with no explicit opt-out for enterprise users or default protection against training use.
“[Privacy] 'we may collect information that's publicly available online or from other public sources to help train Google's AI models and build products and features like Google Translate, Gemini Apps, and Cloud AI capabilities.'”
The Privacy Policy does not explicitly define the scope of the license granted by users over their content. While it states Google collects content users 'create, upload, or receive,' it does not clearly specify whether the license is limited to service delivery, whether it's sublicensable, or whether it survives account termination. The absence of explicit license terms creates moderate concern.
“Not found in documents — scored conservatively”
The Privacy Policy indicates broad sharing with multiple categories of third parties. It states Google shares with 'service providers,' 'affiliates,' 'partners,' and 'specific partners' for measurement and analytics purposes. Notably, it mentions 'over 2 million non-Google websites and apps that partner with Google to show ads' and shares data with these partners. The policy also indicates sharing with 'trusted partners' and 'marketing partners' without requiring explicit DPAs for all sub-processors.
“[Privacy] 'There are over 2 million non-Google websites and apps that partner with Google to show ads' and 'Service providers, trusted businesses, or persons that process information on Google's behalf, based on our instructions and in compliance with our Privacy Policy.'”
The Privacy Policy does not provide clear, specific retention periods for user data. It mentions users can delete information and that Google complies with deletion requests, but states 'You can also learn more about how Google anonymizes data' without specifying how long data is retained before anonymization or deletion. The policy lacks explicit timelines for automatic purge on account termination.
“[Privacy] 'You can also learn more about how Google anonymizes data' and 'You can view and control your Search Services History and Web & App Activity at My Activity' — but no specific retention periods stated.”
The Privacy Policy does not explicitly address IP ownership of outputs generated by the service. It discusses content users create and upload but does not clearly state whether users retain exclusive ownership of AI-generated outputs or whether Google claims any rights to use, sublicense, or improve services based on generated content. This ambiguity warrants a moderate concern score.
“Not found in documents — scored conservatively”
The Privacy Policy mentions compliance with 'legal frameworks' and references GDPR, CCPA, and other U.S. state privacy laws, but does not provide evidence of SOC 2 Type II, ISO 27001, HIPAA, or other formal security certifications. The policy states 'We regularly review this Privacy Policy and make sure that we process your information in ways that comply with it' but does not reference a published security trust page or formal compliance certifications.
“[Privacy] 'We regularly review this Privacy Policy and make sure that we process your information in ways that comply with it' and references to 'legal frameworks' but no specific certifications mentioned.”
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