Google Antigravity

AI Agent Development Platforms

Agent-first AI coding environment and IDE from Google where autonomous agents plan, write, test, and debug software across editor, terminal, and browser.

Agent-first AI coding environment and IDE from Google where autonomous agents plan, write, test, and debug software across editor, terminal, and browser.

Industry: Technology

Pricing: freemium

Use cases: software developers, full-stack engineers, machine learning engineers, devops engineers, engineering managers, technical founders

Capabilities: and bug fixes to autonomous agents., and iterate without manual setup., and logs to understand and verify code changes., delegating end-to-end coding tasks like scaffolding, diffs, experimenting with agentic development workflows on real-world projects while keeping a familiar vs code-style ide., inspect apps, refactors, reviewing agent-generated artifacts such as plans, running multiple coding agents in parallel to explore different implementations or tackle large backlogs., using an integrated browser and terminal so agents can run tests

Tags: AI IDE, agent-first development, Gemini 3 Pro, autonomous coding agents, multi-agent workflows, software engineering, code generation, refactoring, VS Code fork, artifacts, mission control, developer productivity, agent manager

  • Can Antigravity run multiple coding agents in parallel?
Google Antigravity

Google Antigravity

Agent-first AI coding environment and IDE from Google where autonomous agents plan, write, test, and debug software across editor, terminal, and browser.

Technology•AI Agent Development Platforms—(0 ratings)
Software Developmentfreemium

About

Agent-first AI coding environment and IDE from Google where autonomous agents plan, write, test, and debug software across editor, terminal, and browser.

Key Capabilities

  • and bug fixes to autonomous agents.
  • and iterate without manual setup.
  • and logs to understand and verify code changes.
  • delegating end-to-end coding tasks like scaffolding
  • diffs
  • experimenting with agentic development workflows on real-world projects while keeping a familiar vs code-style ide.
  • inspect apps
  • refactors
  • reviewing agent-generated artifacts such as plans
  • running multiple coding agents in parallel to explore different implementations or tackle large backlogs.
  • using an integrated browser and terminal so agents can run tests

Review Summary

—
0 ratings

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