Google artifact agent plan vs fast mode

Plan mode generates a detailed plan (Plan Artifact) before acting, which is ideal for complex tasks.Fast mode executes instructions instantly, which is ideal for quick fixes.

Agent manager

This panel shows active and past agent tasks, including descriptions, plans, progress, and status indicators.

Google antigravity agent manager path

Showing Google antigravity agent manager

Artifacts panel

Stores logs, patches, reasoning steps, and intermediate outputs that the agent produces.

Google antigravity artifact preview

Browser preview

A live app preview that the agent can interact with for automated testing.

Google antigravity browser preview

Terminal

Can be used manually or by agents for installing packages or running commands.

Google antigravity ide terminal

How to use agents to build software in Antigravity

Google Antigravity shifts development from manual editing to high-level task delegation. You describe the task, and the agent handles planning, coding, debugging, and verification.

Traditional workflow vs agent workflow

When the agent workflow helps

Agent-driven development is effective for:

• UI generation from natural-language descriptions
• Multi-file refactoring
• Fixing issues across large codebases
• Scaffolding entire applications
• Creating complex features quickly

Build a snake game in Python using Antigravity agent

This section demonstrates a complete agent-powered development task.

Step 1: Create a new project folder

• Open Google Antigravity.
• Create a new empty project folder.
• Open the folder in the editor.

Step 2: Open the agent manager

• Go to the Agent Manager panel and select the folder we created.

Google antigravity agent manager portal

• Click New Task.

Step 3: Provide the development prompt

Enter a detailed prompt:

Create a fully functional snake game in Python using Pygame.
Include movement controls, food spawning, collision detection, scoring, and a game-over screen.
Test the game in the browser or execution environment and verify it works correctly. Create a `README.md` file with all the instructions on how to run the game.

Showcasing the google antigravity agent manager

Step 4: Agent planning and code generation

The agent will:

• Analyze the prompt
• Review the project folder
• Install dependencies
• Create a Python file structure
• Write game logic
• Add scoring/game-over logic
• Generate assets
• Patch files

Google antigravity artifact results

Step 5: Automated testing

The agent then:

• Runs the game
• Verifies movement
• Checks food spawning
• Tests collision detection
• Confirms game-over behavior

Google antigravity agent game walkthrough and testing

Step 6: Reviewing the final game

The final game is ready to play.

Showcasing the game created by google antigravity agent

Comparing Antigravity vs Cursor

Antigravity is ideal for large-scale automated tasks, while Cursor excels for hands-on developer control.

Best practices for using Google Antigravity

• Write focused, goal-based prompts.
• Create separate folders for different tasks.
• Review agent plans before approving major changes.
• Avoid mixing unrelated tasks in a single prompt.
• Clean up unused files and outdated dependencies regularly.

Conclusion

Google Antigravity introduces a new development style for you, which involves using autonomous agents created by Google. Instead of editing every file manually in traditional IDEs, Google Antigravity's agents handle analysis, planning, code generation, testing, and verification autonomously. In this tutorial, you have learnt how to set up Antigravity, explore its interface, and complete a full development task by generating a Python snake game through natural-language instructions.

As Antigravity evolves, its multi-agent capabilities and Gemini integration will continue shaping the future of AI-assisted development. If you'd like to explore another modern AI-powered IDE, consider our course on Cursor on Intro to AI Coding with Cursor.

Frequently asked questions

1. Is Google Antigravity a vscode fork?

No, it is a new AI-native IDE built by Google for browser-based agent-powered development.

2. Is Google Antigravity free?

Yes, it is free during the preview phase, with generous free Gemini 3 Pro usage.

3. Is Gemini 3 available in Google Antigravity?

Yes, Gemini 3 Pro is the default model.

4. What is Gemini 3 good at?

Gemini 3 Pro excels at autonomous coding, multi-step reasoning, and complex development tasks.

5. Which AI models work with Google Antigravity?

Google Antigravity supports Gemini 3 Pro, Claude Sonnet 4.5, and GPT-4.

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• What is Google Antigravity?
• How to install Google Antigravity
• Getting familiar with the interface of Google Antigravity
• How to use agents to build software in Antigravity
• Build a snake game in Python using Antigravity agent
• Comparing Antigravity vs Cursor
• Best practices for using Google Antigravity
• Conclusion
• Frequently asked questions