What is Google Antigravity?

If you search for "Google Antigravity" today, you might still find an old browser Easter egg where the search bar crashes to the floor. But as of November 2025, Google has reclaimed the name for something far more serious - and potentially industry-changing.

Google just launched an IDE named Antigravity, a platform designed to move developers from "writing code" to "managing agents." But in a world dominated by Cursor and Windsurf, is Google’s new entry actually viable, or is it destined for the infamous Google Graveyard?

What Is Google Antigravity?

Antigravity is Google's latest agentic development platform, powered by Gemini 3 Pro. Unlike traditional AI coding assistants that suggest code completions, Antigravity introduces a mission-based approach where multiple AI agents work autonomously to plan, execute, and document your entire development workflow.

Antigravity launched in November 2025 alongside Gemini 3, and is currently available as a free public preview with generous rate limits for individual developers. It targets developers and teams who want to delegate more orchestration and verification to AI, not just line-by-line autocomplete.

Key Features:

• Async Agents: You can have one agent writing tests, another fixing a CSS bug, and a third refactoring a database schema - all simultaneously.

• Artifacts: The IDE doesn't just spit out code. It generates "Artifacts" - visual plans, implementation strategies, and diff reports that you review before approving.

• Gemini 3 Native: It creates a massive context window capable of ingesting entire monorepos without "forgetting" earlier instructions.

How Antigravity Changes the IDE Experience

Antigravity provides two main modes: an Editor View that feels like a state-of-the-art AI-powered IDE with inline commands and tab completions, and a Manager View that elevates the IDE into a control plane for agents. In Editor View you can stay hands-on with the code while the agent assists, while Manager View lets you manage long-running or multi-step tasks without babysitting every step.​

Unlike traditional AI coding tools, Antigravity deeply integrates browser and terminal operations, enabling agents to run tests, open terminals, browse the web for relevant information, and capture this entire process as artifacts. This unified, multi-surface approach reduces context switching between tools and keeps planning, execution, and verification in one place.​

Model Support and Performance

Antigravity is built around Gemini 3, using its advanced reasoning, tool use, and agentic capabilities to coordinate complex workflows. However, it also supports multiple cutting-edge models such as Gemini 3 Pro in different tiers, Claude Sonnet 4.5, and a large open-source model, letting you trade off cost, speed, and reasoning depth per task.​

Benchmarks shared by early testers indicate that Antigravity can generate a full Next.js + Supabase feature faster than some leading competitors, while maintaining whole-codebase awareness using very large context windows. This large-context capability allows agents to reason over big projects at once, which is difficult for most older AI coding assistants.​

Real-World Use Cases

For full-stack feature development, Antigravity can decompose a natural language request into database schemas, backend endpoints, frontend components, and tests, then coordinate agents to implement and validate them in parallel. Browser automation can run through end-to-end flows (such as authentication or checkout) and produce artifacts summarizing what passed, what failed, and what changed.​

In API development, agents can infer OpenAPI specifications, generate mock servers, validate responses against schemas, and detect breaking changes before deployment. For UI/UX work, Antigravity can convert design mockups or textual descriptions into working interactive prototypes, then test responsiveness across different viewports via automated browser runs.​

Advantages: Why Developers Are Excited

Antigravity’s biggest advantage is unprecedented autonomy: agents can plan, execute, and self-verify complex tasks, dramatically lowering the cognitive load on developers. The combination of multi-agent orchestration, multi-surface integration, and artifact-based verification offers a degree of transparency and control that many competing tools lack.​

The platform also includes a growing knowledge base that accumulates project-specific patterns over time, helping agents make better decisions on future tasks. With a zero-cost entry for individuals and backing from the team behind a previously successful agentic IDE acquisition, Antigravity has a strong foundation and clear appeal for early adopters.​

Limitations and Early-Adopter Friction

Early users report that Antigravity’s preview release can be frustrating at times, with rate-limiting, “model provider overload” errors, and occasional rough edges in UI polish. Some developers also highlight occasional syntax or environment issues that require manual intervention, especially in more complex projects.​

Enterprise-grade features such as advanced collaboration, higher usage tiers, and hardened security controls are still evolving, with many expected to arrive in future updates. As with any autonomous system, teams must still design guardrails, review AI-generated changes, and consider sandboxing or staged rollouts before trusting agents in production pipelines.

Antigravity vs. Cursor vs. Windsurf: What's the Difference?

The AI IDE market is now a three-way battle between Speed, Context, and Management.

1. Cursor: The Speed Demon

• Best For: Developers who want to write code fast.

• The Vibe: Telepathic.

• Why it Wins: Cursor’s "Composer" mode (Cmd+I) is still the gold standard for rapid, multi-file editing. It feels like an extension of your brain. If you want to be the one typing and driving, Cursor is still king.

2. Windsurf: The Deep Thinker

• Best For: Complex debugging and legacy codebases.

• The Vibe: Deeply aware.

• Why it Wins: Windsurf’s "Cascade" flow focuses on maintaining a perfect sync between the AI's understanding and your actual file state. It excels at "grokking" large, messy projects where context is more important than raw speed.

3. Google Antigravity: The Project Manager

• Best For: Orchestrating tasks and "Agentic" workflows.

• The Vibe: Delegation.

• Why it Wins: It is the only IDE built from the ground up for multi-agent workflows. If your goal is to act as a "Director of Engineering" who reviews code rather than writes it, this is your tool.

Conclusion

Google Antigravity isn't just another AI coding assistant—it's a paradigm shift toward agentic development platforms. By treating AI as a managed team rather than a copilot, it offers developers unprecedented leverage in building software.

While it may not be suitable for every project type, Antigravity provides a compelling glimpse into the future where developers orchestrate AI agents rather than write every line of code themselves.

Have you tried Google Antigravity? Share your experiences and let us know whether you'd trust AI agents to plan and build your next application.