🧠All Things AI
🧠 All Things AI
Advanced

Google Antigravity IDE

Antigravity is Google's AI-native integrated development environment — announced on November 18, 2025 alongside Gemini 3. It is a heavily modified fork of VS Code, built from the ground up as an “agent-first” coding environment. Rather than offering AI suggestions on top of a traditional editor, Antigravity puts autonomous AI agents at the centre of the development workflow, competing directly with Cursor, GitHub Copilot Workspace, and similar tools.

The Agent-First Model

Traditional AI-assisted editors augment the human developer — they autocomplete lines, suggest refactors, and answer questions. Antigravity flips this: the AI agents plan and execute multi-step coding tasks autonomously, while you review and approve the results.

Agents in Antigravity operate using a ReAct (Reason + Act) loop — they reason about the task, decide which tools to use, execute actions (edit files, run commands, check test output, browse documentation), observe the results, reason again, and continue until the task is complete. The editor, terminal, and browser are all accessible to agents within a single orchestrated session.

Models and Multi-Model Support

Antigravity is powered primarily by Gemini 3.1 Pro and Gemini 3 Flash for most coding agent tasks. It also supports third-party models, reflecting Google's acknowledgement that developers want model choice:

  • Claude Sonnet 4.6 (Anthropic)
  • Claude Opus 4.6 (Anthropic)
  • GPT-OSS-120B (open-source OpenAI variant)

MCP (Model Context Protocol) integration is built in — you can connect Antigravity to any MCP server to give agents access to external tools, databases, or APIs.

Capabilities

  • Autonomous debugging: Describe a bug in natural language; the agent reads relevant files, traces the issue, implements a fix, runs tests to verify, and reports back.
  • Feature implementation: Give a feature brief; the agent plans the implementation, creates or modifies files across the codebase, and handles edge cases.
  • Large codebase refactors: Rename, restructure, or migrate patterns consistently across an entire project — tasks that would take hours manually.
  • Test generation: Analyse existing code and generate unit or integration tests with appropriate coverage.
  • Documentation: Read functions and classes and write documentation inline.

Pricing

Antigravity is free for individuals in public preview. Heavier usage — longer agentic tasks, larger codebases, premium model access — is metered through an AI credits system: $25 for 2,500 credits. As of March 2026, there has been user pushback on pricing changes and the rate at which credits are consumed on complex tasks. The product is actively evolving and pricing is subject to change.

Antigravity vs Cursor

Both Antigravity and Cursor are VS Code forks with deep AI integration. The key differentiation is model access — Antigravity defaults to Gemini (with multi-model support), while Cursor defaults to Claude and GPT-4 (with multi-model support). Both support autonomous agent modes and MCP. The competitive dynamics are evolving rapidly as both products improve.

Checklist

  • When was Antigravity announced, and what codebase is it built on?
  • What does the ReAct (Reason + Act) loop mean in the context of Antigravity agents?
  • Which non-Google models does Antigravity support?
  • What is the AI credits pricing model, and what user concern has emerged around it?
  • How does Antigravity differ from a standard AI-assisted editor in its approach to development workflow?