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: Delegating end-to-end coding tasks like scaffolding, refactors, and bug fixes to autonomous agents., 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, inspect apps, and iterate without manual setup., Reviewing agent-generated artifacts such as plans, diffs, and logs to understand and verify code changes., Experimenting with agentic development workflows on real-world projects while keeping a familiar VS Code-style IDE.
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
Agent-first AI coding environment and IDE from Google where autonomous agents plan, write, test, and debug software across editor, terminal, and browser.
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
- Delegating end-to-end coding tasks like scaffolding, refactors, and bug fixes to autonomous agents.
- 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, inspect apps, and iterate without manual setup.
- Reviewing agent-generated artifacts such as plans, diffs, and logs to understand and verify code changes.
- Experimenting with agentic development workflows on real-world projects while keeping a familiar VS Code-style IDE.
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