This video introduces Google’s new agent-first coding tool, Antigravity. The presenter, Callum (also known as Wanderloots), highlights that Antigravity is a next-generation IDE designed around agentic workflows, distinguishing it from traditional IDEs that focus on code first.
Antigravity at a Glance
[0:01:50] The video showcases the Antigravity website, emphasizing the tagline “Experience liftoff with the next-generation IDE.” Antigravity is presented as an AI-powered IDE that allows developers to leverage AI features for tasks such as agent, tab, and command operations. It supports asynchronous agents, enabling local agents to work in parallel across multiple workspaces. The core features include an Editor, a Browser (for browser-agent interactions), and an Agent Manager.
Agent-Centric Control
[0:02:25] The Agent Manager provides a higher-level view of the agents, organizing them around a planning mode and artifact review, facilitating efficient management of agents and their tasks. The Inbox acts as a central hub for tracking all agent conversations, allowing users to review approvals for running terminal commands, browse, or build implementation plans. The Browser Agent is a key component that allows agents to interact with websites, enabling them to perform actions like clicking, scrolling, and extracting information, which is crucial for tasks like UI testing. The video introduces the concept of context engineering, where agents create artifacts (like task and implementation plans) to communicate their work and thought processes.
Setup & First-Run Options
[0:04:17] The presenter demonstrates the installation process, highlighting the option to start fresh or import settings from VS Code. Users can choose their preferred editor theme, with options like Dark, Tokyo Night, Light, and Solarized Light available. Antigravity offers different setup flows, including agent-driven development, agent-assisted development (recommended), and review-driven development, allowing users to tailor the experience to their needs. The setup also includes extension management, with pre-installed language extensions and the ability to install more from a marketplace. A Command Line Tool is also available for opening Antigravity with agency. The terms of use highlight Antigravity’s security limitations and the need for users to be aware of potential risks, including data exfiltration and possible code execution. Users are advised to avoid processing highly sensitive data and verify all agent actions.
Interface Walkthrough
[0:06:26] The interface of Antigravity is shown, featuring an Explorer panel, Source Control, Search, Run and Debug, Extensions, and Remote Explorer. The Agent Manager view allows users to manage multiple agents, which can work in parallel. The Playground feature provides an independent workspace for quick prototypes and exploration. The video explains the need for a browser extension to enable the agent to interact with websites. This extension must be installed and the user must sign in with their Google account for the agent to access necessary information.
Views for Coding vs. Agents
[0:08:04] Antigravity presents two main interaction views: the Code view for direct coding and the Agent Manager for managing agents and workflows. The Agent Manager opens a separate workspace, offering a more structured environment for interacting with agents, allowing for simultaneous operation and cross-codebase interaction. The ability to “follow along with agent” is highlighted, allowing users to observe the agent’s actions in real-time within the editor.
Playground & Models
[0:09:02] The Playground offers a different interface, focused on quick experiments and conversations. Users can choose between Planning and Fast modes, and select from various language models like Gemini Pro, Claude Sonnet, and GPT-OSS.
Workflow Kickoff Tip
[0:10:43] A key tip is to “Tell Antigravity NOT To Code” when initiating a task, allowing the AI to focus on planning and execution without premature code generation.
Implementation Planning
[0:12:24] The implementation plan generated by the agent is detailed, outlining the project structure, dependencies, backend API layer, frontend components, styling strategy, and verification plan. The concept of prompt engineering is emphasized, allowing users to guide the AI with precise instructions to achieve desired outcomes.
Development Hygiene
[0:14:43] Introducing version control (Git) from the beginning of a project is highlighted as a crucial step for managing code effectively. The video touches upon telemetry, explaining it as the process of collecting and transmitting data from remote sources for monitoring and analysis, and discusses the privacy implications of sharing data with Google.
Automation & Testing
[0:17:44] The ability to generate Git commit messages automatically significantly streamlines the workflow. The agent’s ability to autonomously test the system by running commands directly in the terminal is demonstrated, showcasing the interactive nature of the tool.
Browser Agent in Action
[0:19:55] The Antigravity browser agent can automatically interact with websites, making it possible to test features, monitor dashboards, and handle routine browser tasks. The ability to create a new browser profile specifically for the agent (“Agentic Browser”) is recommended for a cleaner, sandboxed experience.
Managing Workspaces
[0:21:11] The distinction between the Editor view and the Agent Manager view is clarified, highlighting the agent’s independent operation and the ability to manage multiple agents in parallel. The Playground is presented as a flexible space for quick experiments, allowing users to easily move their work into a new workspace for organization.
Local LLMs & App Plan
[0:23:03] The integration of Ollama local LLM spawning is a key feature, enabling the agent to access and utilize local LLMs for tasks like article analysis, tag generation, and daily report creation. The plan for building the RSS reader app includes features like tag filtering, auto-tagging, color-coded cards, and a daily report generator.
Comparisons & Key Takeaways
[0:30:01] Google AI Studio and Antigravity are compared, with the former operating in a sandbox and the latter allowing deeper interaction and control. Key takeaways highlight Antigravity’s strengths in its integrated editor, manager, inbox, and browser functionalities, as well as its ability to handle artifacts and annotations. The possibility of generating images with Nanobana for mockups and customizing agent behavior through rules and settings are also mentioned as valuable features. The ability to leverage AI for app building, including prompt engineering and self-learning curation, is a significant aspect of Antigravity’s potential.
This comprehensive analysis covers the key features, functionalities, and user experience aspects of Antigravity as presented in the video, providing a solid foundation for understanding this new AI-first coding tool.