Google has announced the release of Antigravity 2.0, a major update to its AI development ecosystem focused on improving collaboration between AI agents and streamlining developer workflows.
The update introduces support for multiple AI agents working together within a single workflow, allowing developers to automate more complex tasks and improve productivity. Google said the system is designed to help developers coordinate AI-driven processes more efficiently across projects.
A new command-line interface (CLI) has also been added, enabling developers to launch and manage AI agents directly from the terminal. The feature is intended to simplify deployment and reduce the steps required to integrate AI agents into development environments.
Google additionally introduced a software development kit (SDK) that allows developers to build custom AI agents optimized for the company’s Gemini family of AI models. The SDK is aimed at developers seeking more control over agent behavior and application design.
Antigravity 2.0 integrates with several Google development platforms, including Google AI Studio, Firebase, and Android Developers. According to Google, the tighter integration is intended to make it easier for developers to move projects between prototyping, testing, and production stages.
Alongside the platform update, Google announced a new subscription tier called AI Ultra, priced at $100 per month. The plan offers five times more usage capacity than the existing Pro tier and includes a $100 credit for both new and current AI Ultra subscribers during the company’s I/O week announcements.
The company also revealed a new AI Studio mobile application for Android devices. The app is currently available for pre-registration on the Google Play Store and is designed to help developers capture ideas, start projects using example applications, and share work more easily.
The announcements reflect growing competition among major technology companies to expand AI development tools and attract developers building AI-powered applications. Google has increasingly focused on integrating AI services across its developer ecosystem as demand for generative AI infrastructure continues to rise.
