Antigravity – Google’s Agentic Development Platform

 

1. Introduction

Antigravity is a development platform introduced by Google, designed to integrate and coordinate agents capable of autonomously performing software tasks. Its purpose is to allow developers to delegate complex operations while maintaining precise control over actions executed within the editor, terminal, and browser.

 

2. Key Concepts

2.1 Agents

Antigravity agents are autonomous entities capable of:

• planning actions,
• executing tasks across different environments,
• producing verifiable reports known as Artifacts.

They operate alongside the developer’s workflow, either synchronously or asynchronously.

2.2 Artifacts

Artifacts are the output elements produced by agents.
They may include:

• task lists,
• execution plans,
• screenshots,
• browsing recordings,
• proposed code changes or patches.

These elements allow developers to audit and validate the work performed by agents.

 

3. User Interfaces

Antigravity relies on two main environments:

3.1 Editor Surface

• An IDE-like environment.
• AI-assisted code completion.
• Inline command invocation.
• Synchronous operation is suited for traditional development tasks.

3.2 Manager Surface

• An interface dedicated to agent management.
• Allows creation, monitoring, and control of multiple agents simultaneously.
• Asynchronous workflow optimized for long-running or parallel tasks.
• Ideal for maintenance, testing, debugging, or project evolution.

 

4. Primary Use Cases

4.1 Task-Oriented Development

Agents can be instructed to implement a complete feature by:

1. generating code,
2. launching the environment through the terminal,
3. running functional tests via the browser,
4. returning status updates through Artifacts.

4.2 Maintenance and Issue Resolution

• Reproducing bugs,
• Generating related tests,
• Applying or suggesting fixes,
• Running operations in the background while the developer continues working.

4.3 User Interface Evolution

Agents can modify UI components as requested and provide screenshots and other Artifacts for validation.

 

5. Transparency and Validation

To ensure trust in automated actions, Antigravity:

• goes beyond raw technical logs,
• provides detailed and interpretable Artifacts,
• allows developers to comment directly on deliverables,
• re-executes or adjusts tasks based on feedback.

 

6. Agent Learning and Memory

Agents can store certain elements in an internal knowledge base, such as:

• code snippets,
• interaction patterns,
• development contexts.

This memory enhances performance in repetitive or evolving tasks.

 

7. Technical Environment

7.1 Supported AI Models

Antigravity supports several advanced models, including:

• Gemini 3 Pro,
• Claude Sonnet 4.5,
• GPT-OSS provided by OpenAI.

7.2 Operating Systems

The platform is available on:

• macOS,
• Windows,
• Linux.

7.3 Availability

Antigravity is currently released as a public preview, free for individual users.

 

8. Conclusion

Antigravity introduces a new approach to software development centered on collaboration between developers and intelligent agents.
With its dedicated surfaces, Artifact system, and multi-environment integration, the platform aims to make development more efficient, structured, and automated.