Google Antigravity

Video Review

About

Google Antigravity is an agentic development platform that rethinks how developers interact with AI-powered coding tools. Announced on November 20, 2025 alongside Gemini 3, Antigravity emerged from Google's $2.4 billion acquisition of the Windsurf team and their underlying technology. Rather than simply adding AI chat to an existing editor, Google built Antigravity around the concept of autonomous agents that can plan, execute, and verify software development tasks across your editor, terminal, and browser simultaneously. The platform is built on a heavily modified fork of VS Code, so developers familiar with that ecosystem will feel at home with extensions, keybindings, and workspace conventions. However, Antigravity introduces two distinct operational modes that set it apart. The Editor View functions as a polished, AI-enhanced IDE with intelligent tab completions, inline commands, and a conversational agent sidebar for synchronous coding work. The Manager Surface is where things get interesting -- it serves as a control center for spawning and orchestrating multiple agents that work asynchronously across different workspaces and tasks in parallel. A defining feature is the Artifacts system. Instead of dumping raw tool call logs, agents produce structured, verifiable deliverables including task lists, implementation plans, annotated screenshots, and full browser recordings. These artifacts are commentable, meaning developers can annotate plans directly and have those comments treated as instructions back to the agent. This creates a feedback loop that keeps humans in control without requiring them to micromanage every step. Antigravity supports multiple AI models out of the box: Gemini 3.1 Pro with a 2-million-token context window and generous rate limits, Anthropic Claude Sonnet 4.5, and OpenAI GPT-OSS. The knowledge base system allows agents to retain useful code snippets, patterns, and task execution strategies across sessions, building institutional memory over time. The platform also includes Code Archaeology, a unique feature that explains the history of any code block by analyzing git blame data, related commits, pull request discussions, and linked issues. For testing, the built-in browser extension can launch applications, perform UI interactions, and produce test reports with video recordings of entire test sessions. Google Antigravity is currently free during its public preview period across macOS, Windows, and Linux. Paid plans are expected to launch around mid-2026. While the free tier provides substantial access to Gemini 3 Pro and other models, some users have reported rate throttling during extended agent sessions.

Key Features

• Manager Surface for orchestrating multiple autonomous agents working in parallel across workspaces
• Editor View with AI-powered tab completions, inline commands, and conversational agent sidebar
• Artifacts system producing verifiable task lists, implementation plans, screenshots, and browser recordings
• Multi-model support including Gemini 3.1 Pro (2M token context), Claude Sonnet 4.5, and GPT-OSS
• Knowledge base that retains code snippets and task strategies across sessions for persistent agent memory
• Code Archaeology feature analyzing git blame, commits, PRs, and issues to explain code history
• Built-in browser for automated UI testing with video recording of test sessions
• Commentable artifacts where developer annotations become agent instructions
• VS Code-compatible extension ecosystem and keybindings
• Cross-platform availability on macOS, Windows, and Linux

Use Cases

• 1Rapidly scaffolding full-stack applications from high-level specifications using parallel agents
• 2Delegating complex refactoring tasks across multiple files while continuing other work
• 3Automated end-to-end UI testing with browser recordings for QA verification
• 4Onboarding to unfamiliar codebases using Code Archaeology to understand code history and intent
• 5Generating and executing implementation plans with structured artifact review before merging
• 6Running parallel agents for simultaneous frontend, backend, and test development
• 7Building MVPs and prototypes at high speed with agent-driven boilerplate generation