Google has unveiled its latest development in integrated development environments (IDEs) with the launch of Antigravity, a platform designed to streamline agent-based AI workflows. Building upon the foundation of Visual Studio Code, Antigravity offers a tailored experience for developers working with AI agents, marking a significant shift from traditional language-specific IDEs.

Overview of Antigravity’s Features

Antigravity is built as a fork of Visual Studio Code, integrating custom behaviors that enhance AI agent interactions beyond what typical extensions can achieve. If you’re familiar with VS Code, getting started with Antigravity is straightforward. Its core workflow centers around engaging with AI agents, which necessitates some familiarization with new interaction modes and controls.

Users can select between planning mode and fast mode. Planning mode facilitates more deliberate interactions, providing detailed artifacts such as task lists, process walkthroughs, and opportunities for user intervention at each step. Fast mode executes commands directly for quick, one-off tasks, suitable for experiments that require minimal oversight. Adjustable review settings allow users to control how much feedback or intervention is needed during AI operations.

Security and Setup Considerations

In late November, security researcher Mindgard highlighted a vulnerability in Antigravity that could expose users to backdoor attacks. Google has acknowledged this issue and is actively working on a fix to ensure user safety.

When setting up a project in Antigravity, users can initiate conversations with various AI agents. The platform offers multiple agent models, including Gemini 3 Pro (high and low variants), Claude Sonnet 4.5, and GPT-OSS 120B Medium. Currently, Antigravity operates under a free public preview with fixed rate limits, and paid plans or custom service integrations are not yet available.

Experiencing Antigravity in Action

For instance, I started a project in planning mode to convert Markdown files into Word documents using Python. Initially, the agent did not utilize the project’s virtual environment, leading to incorrect library installations. After providing feedback, the agent adjusted its approach and correctly used the virtual environment for subsequent tasks.

During the process, Antigravity generated detailed implementation plans, allowing me to review and comment on each step, ensuring better control over the AI’s actions. This interactive approach underscores the platform’s focus on transparency and user oversight in AI-driven workflows.

Overall, Antigravity represents a new frontier in IDEs tailored for AI-centric development, emphasizing collaboration between human developers and intelligent agents for more efficient project execution.

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• https://www.infoworld.com/article/4096113/a-first-look-at-googles-new-antigravity-ide.html