Antigravity: The Next Leap in Agent-First Software Development

The world of software development is evolving at lightning speed. Models like Gemini 3 are redefining what is possible in coding, and the rise of agentic intelligence is pushing us toward a new paradigm: agent-first development. At Google, they believe the Integrated Development Environment (IDE) must evolve alongside these advances, and that is exactly why they created Google Antigravity.

What is Antigravity, and Why Does It Matter?

Google Antigravity is more than an IDE; it is an agentic development platform designed to help anyone with an idea turn it into reality. While it maintains a familiar coding environment at its core, Antigravity is purpose-built for the era of autonomous agents.

The vision is simple: give developers and creators the freedom to focus on ideas, while intelligent agents handle complex execution. By leveraging long-running LLMs across multiple surfaces, agents in Antigravity can plan, act, and deliver without constant human intervention.

Antigravity is built around four key principles of modern collaborative development:

1. Trust: Transparent agent works with task-level context, supporting verification and reproducibility.

2. Autonomy: Agents operate simultaneously across editors, terminals, and browsers.

3. Feedback: Users can interact asynchronously with agents and artifacts to guide outcomes.

4. Self-improvement: Agents learn continuously, leveraging and contributing to a shared knowledge base.

🌟 Antigravity is designed for software developers and idea-driven creators alike. Public preview is available now at no cost, and it is compatible with MacOS, Linux, and Windows.

The Antigravity Agent Ecosystem

At the heart of Antigravity is the Agent, a multi-step reasoning system powered by frontier LLMs. Its architecture revolves around:

1. LLMs: The Brain Behind the Agent

Antigravity provides developers with a model choice for the reasoning core:

• Gemini 3 Pro: High and low configurations. Check our blog about Gemini 3 Pro here.
• Anthropic Claude Sonnet 4.5: Includes a thinking-specific model.
• OpenAI GPT-OSS

Specialized models power specific tasks:

• Nano Banana: Generative images and UI mockups. Check our blog about Nano Banana Pro here.
• Gemini 2.5 Pro UI Checkpoint: Browser task actuation.
• Gemini 2.5 Flash: Background checkpointing and context summarization.

💡 Watch the video below to see how Nano Banana Pro works in Antigravity:

2. Agent Workflow and Surfaces

Antigravity provides two primary interfaces:

• Editor View: A synchronous, AI-enhanced coding workspace built on VS Code. Features include Tab completions, Supercomplete, Tab-to-Jump, and Tab-to-Import, enabling agents to make meaningful code improvements in context.
• Manager View: A control center for spawning, orchestrating, and observing multiple agents across workspaces. As agent capabilities grow, we expect this to become the primary entry point for software development.

Agents operate in different modes depending on the task:

• Planning Mode: Complex, collaborative tasks requiring research and detailed implementation plans.
• Fast Mode: Quick, local tasks like variable renaming or bash commands.

3. Artifacts: Communicating Work and Thought

Artifacts are the tangible outputs of an agent’s work, supporting asynchronous human collaboration:

• Task Lists: Track progress across research, implementation, and verification.
• Implementation Plans: Architectural blueprints with Google-doc-style feedback support.
• Walkthroughs: Concise summaries of completed tasks.
• Browser Recordings/Screenshots: Visual confirmation of automated web interactions.

4. Browser Capabilities

Antigravity agents can read, control, and interact with Chrome, expanding their reach beyond the IDE:

• Controlled via a subagent and Antigravity Browser Extension.
• Securely sandboxed in separate browser profiles.
• Two-layer URL access control: Server-side Denylist and local Allowlist.

5. MCP: Model Context Protocol

MCP bridges Antigravity with your development ecosystem:

• Context Resources: Fetch live data from databases, build logs, and other services.
• Custom Tools: Execute safe, predefined actions, like creating tasks in Linear or searching GitHub/Notion.
• Integration: Supports GitHub, MongoDB, Notion, Stripe, and more via the MCP Store.

6. Knowledge Items: Persistent Memory

Knowledge Items (KIs) capture and organize insights across sessions, allowing agents to build upon past work:

• Include title, summary, and supporting artifacts
• Agents automatically study relevant KIs to inform ongoing tasks

💡 Watch the video below to learn the basics of Antigravity. This video serves as a mini crash course, covering all the key features.

Use Cases: Turning Ideas into Real-World Action with Antigravity

Google Antigravity is not just a theoretical IDE; it bridges the digital and physical worlds, enabling agents to take high-level goals and turn them into functioning real-world systems. Two compelling examples highlight this capability: controlling a cart-pole system and building an auto-playing pinball machine.

1. Research Scientist Uses Antigravity to Invert a Pendulum (Cart-Pole Control)

The classic cart-pole problem, swinging a pendulum upright on a moving cart and stabilizing it, is a benchmark in control theory. While previous models struggled, Antigravity achieved success with impressive speed and precision.

Agent Workflow and Implementation:

• Initial Prompt and Code Generation: The scientist provided a detailed prompt including the device’s specifications, communication protocol, and expected actions. Antigravity generated the controller code in minutes.
• Extrapolation Challenge: The physical device was unique and likely absent from the model’s training set. Antigravity demonstrated an ability to extrapolate and solve new problems.
• Code Review: The agent requested user verification of the generated code, ensuring the scientist remained in control.
• Controller Tuning: Using system dynamics plots from test runs, Antigravity inferred parameter adjustments. For example, after a failed attempt, the agent suggested increasing damping to stabilize the pendulum.
• Result: Within two to three iterations, the controller successfully stabilized the pendulum. This demonstrated Antigravity’s ability to interact with the real world autonomously, while keeping humans in the loop for guidance and review.

💡 Key Insight: Anyone with a machine they can interface with, sending commands and reading sensors, can replicate this approach. See it in action below.

2. Building an Auto-Playing Pinball Machine

Antigravity’s versatility shines when bridging software with physical hardware. In this use case, the goal was to create a pinball machine that plays itself, fully controlled from a laptop.

Agent Workflow and Implementation:

• Goal and Context: The user defined the objective, including web serial and Bluetooth interfaces. Antigravity helped refine the prompt, understanding the task and planning a path forward.
• Collaboration and Component Building: The agent divided the project into modular components:
  
  • Actuating the flippers
  • Computer vision to track the ball
  • Integrating components into a user interface
• Planning and Execution: Antigravity produced an implementation plan, requested approval, and executed tasks autonomously, creating a project called “simple serial sender” to manage the workflow.
• Hardware and Firmware: The physical setup included solenoid actuators and a camera to monitor gameplay, connected to a microcontroller whose firmware was written by the agent. Commands were sent via USB from a laptop to control the machine in real time.
• Fine-Tuning and Debugging: The agent helped troubleshoot issues like false ball detection by creating defined zones, ensuring accurate flipper actuation.
• Result: From idea to working system, Antigravity enabled the user to quickly go from concept to functional, real-world hardware control, highlighting the platform’s zero-to-one capability.

💡 Key Insight: Antigravity can autonomously manage both digital code and real-world hardware, making complex projects faster, more reliable, and repeatable. See it in action below.

Why Antigravity is a Game-Changer

If traditional development is like driving a car, controlling every turn, shift, and brake, then Antigravity is like flying a drone with autopilot. You define the mission goal, and the agent navigates the complexities, leveraging its models, knowledge base, and tools to execute across environments. Artifacts provide visibility, verification, and trust, keeping humans in the loop without slowing innovation.

Antigravity is not just an IDE; it is a launchpad for ideas, enabling developers to dream bigger and execute faster than ever before.

Ready to experience the future of agent-first software development? Antigravity is now live in public preview.

Contact us today and take your ideas to new heights.