In the rapidly evolving landscape of software development, AI agents are moving beyond simple code suggestions to become true parallel partners, managing complex tasks and entire feature implementations. Google Antigravity is at the forefront of this shift, offering an integrated environment to orchestrate these agents.
Let’s dive into a hands-on guide to the three pillars of the Antigravity developer experience: the Inbox, Workspace, and Playground.
The Core Components of Google Antigravity
Google Antigravity is designed around the concept of the Agent Manager, a central AI hub that tracks, manages, and executes development tasks.
- The Inbox: Your Agent Task Manager
The Inbox is the central command center, providing a single, organized view of all activity driven by your AI agents. It functions as a historical log and a real-time monitoring tool.
Centralized Tracking: It keeps a list of all conversations and asynchronous tasks being handled by agents.
Monitoring Progress: You can view the status of tasks (e.g., running, waiting for approval) and receive notifications upon completion.
Task Management: Clicking a conversation reveals the full history, agent outputs, and the ability to take action, such as providing necessary approvals.
- The Workspace: Persistent Project Context
The Workspace is the environment where your actual project code resides and where long-term agent work is anchored. It provides the persistent context necessary for agents to perform meaningful, multi-step modifications to your codebase.
Context Retention: Everything an AI agent does within the IDE is tied to the Workspace, allowing the agent to remember files, history, and the overall context of the project.
Parallel Development: It allows you to set up agents or multiple agents to work on your project in parallel.
Scope Definition: You can create new workspaces (local or remote) to give a specific agent a targeted context, ensuring their actions are relevant to a particular part of the project.
- The Playground: The Sandbox for Innovation
The Playground is the equivalent of a temporary, isolated branch or a sandbox environment. It’s perfect for rapid prototyping, quick exploration, or executing a single, high-level prompt that you want to keep separate from the main development line until approved.
The workflow in a Playground is intrinsically multi-agent and asynchronous:
High-Level Prompt: You issue a command (e.g., “Create a new REST API endpoint for user profile updates”).
Agent Instantiation: A dedicated agent instance is spawned.
Execution & Artifacts: The agent generates an Implementation Plan, executes the necessary steps (across the editor, terminal, and browser), and produces verification Artifacts (screenshots, recordings).
Isolation: The execution is kept isolated and observable.
Hands-On Example: AI-Driven Front-End Validation
Lets try to do hands-on with Google Antigravity workspace and playground to do the belwo steps/modification in our existing projects.
Inbox:-
In Google Antigravity, the inbox is a central hub for managing all conversations and tasks delegated to AI agents. It shows a list of all ongoing conversations, and clicking one takes you to all messages, task statuses, and outputs, allowing you to track, monitor, and manage your work in one place. It is a key feature of the Agent Manager, which functions as a central AI hub for development workflows.
Key uses of the inbox
Centralized tracking: Keeps a single, organized list of all conversations and asynchronous tasks being handled by your AI agents.
Conversation history: Clicking a conversation reveals all messages, the status of tasks (e.g., running, waiting for approval), and the agent’s output.
Task management: You can view the progress of tasks, see what agents have produced, and take action, such as providing approval.
Return to work: The inbox allows you to easily return to a previous task or conversation later to continue working on it.
Monitoring progress: You can see tasks running simultaneously and receive notifications when they are completed.
Workspace:-
Now lets say we are working on our project code and we want agent or mutiple agent to work parallel on our project code and show us the result and once the resutl is approved we can merge that code in our main project. This is what workspace and playgroud in Google Antigravity gives you. What ever we do using AI agent in the IDE is under workspace so that AI agent can remember the context,files, history etc.
You can create open new workspace that is local or remote so that you can get the specific context to your specific agent.
Playground :-
Playgrounds are independent workspaces perfect for quick prototypes or following your curiosity. Move to a dedicated workspace to continue exploring with multiple conversations. The “Playground” refers to a temporary, isolated conversation or task thread within the Agent Manager. This is where you issue a high-level prompt (e.g., “Create a new REST API endpoint for user profile updates”) which spawns a dedicated agent instance. This agent then:
Generates an Implementation Plan (Artifact). Executes the necessary steps across the editor, terminal, and browser and Produces verification Artifacts (screenshots, recordings).
The Playground keeps the execution of this specific task isolated and observable, allowing for the multi-agent, asynchronous workflow. It’s your sandbox for innovation, where agents do the heavy lifting.
Once an agent in a Playground (or Task Thread) has completed its work and generated a set of code changes (a diff), the developer must review the generated Artifacts and the proposed changes i.e. Merge to the Existing Files.
The Merge functionality is the final step where the developer approves the agent’s work. The system will then automatically:
Apply the agent’s code changes (file modifications, additions, deletions) to the files in the associated Workspace.
Optionally, the agent can be configured to generate a Pull Request (PR) summary and description, linking the verification artifacts to accelerate the human code review process.
So in short
Inbox:- will give you the list of all ongoing conversations with its status etc allowing you to track, monitor, and manage your work in one place.
Workspace:- Provide the context to to the ai model to think and perform the operation as per your need on that workspace.
playground:- for quick prototypes or following your curiosity and once you confirm we can add/merge the code directly to our workspace code.
Lets try to use the commmon command on these workspace and playground to understand it before we move to real world example.
Workspace :-
Playground :-
now lets ask the Google Anugravity to create the validation for our project it create the below given item for us.
Done by the google antigravity by itself
“Implemented Features:
Signup Page (/signup):
Username: Required, Minimum 3 characters.
Email: Required, Valid email format.
Password: Required, Minimum 8 characters, Complexity Check (Must contain uppercase, lowercase, number, and special character).
Confirm Password: Required, Matches Password (Custom validator).
Visuals: Red border and helpful error messages appear when fields are invalid.
Login Page (/login):
Email: Required, Valid email format.
Password: Required.
UX: “Login” button shows a loading state (“Logging in…”) when clicked.
Reset Password Page (/reset-password):
Email: Required, Valid email format.
New Password: Same complexity rules as Signup.
Confirm New Password: Must match the New Password.
Premium Design:
Used a modern color palette (Indigo & Gray).
Added smooth transitions, box shadows, and rounded corners.
Responsive layout that looks good on mobile and desktop.
Used the Inter font for a clean, professional look.”
Note:- All this changes are on fly and hence it done not update our database.
Once we are confirm that we had done the validation properly we can merge the code in our branch.
Note:- As we are changing only the frontend we will chose src folder inside our main workspace project and then it will merge the code automatically.
Now after merge lets try to run our main application.
Run this command
you can see we have now our playground code added to our main project but you will find it is working as mock files now and going to database for verification.
Code:-
https://github.com/shdhumale/antigravity-workspace-google-antigravity-validation.git
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