🌀 Google Antigravity

Google Antigravity is a state-of-the-art agentic AI coding collaborator designed by the Google DeepMind team. Built for Advanced Agentic Coding, Antigravity functions as a highly autonomous pair-programmer, capable of managing workspaces, editing files, executing background tasks, and coordinating subagent teams to solve complex engineering challenges.

For associated Google developer tools, see:

• [Google ADK Reference Guide](./Google ADK.md)
• [Gemini CLI Reference Guide](./Gemini CLI.md)

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📊 Tool Datasheet

Metric	Details
Tool Name	Google Antigravity
Category	Autonomous Agentic Coding Assistant
Purpose	To act as an expert collaborator for large-scale codebases, combining file manipulations, web queries, sandboxed command execution, and subagent orchestration.
Developer	Google DeepMind (Advanced Agentic Coding)
Interface	CLI, IDE Integrated Chat, and System Notifications
Memory Caching	Direct workspace indexing and system logs integration

🛠️ Capabilities

1. Strict Context Isolation: Restricts operation scopes strictly to user-approved workspaces, respecting directory hierarchies and local rules files.
2. Fine-Grained File Operations: Performs precise contiguous writes, multi-replacements, and file creations with inline lint validation.
3. Background Task Management: Spawns long-running execution commands (e.g. compilers, test runners, dev servers) as background tasks, tracking outputs and notifying users on status changes.
4. Subagent Spawning: Instantiates specialized subagents (research for deep repository/web lookups, self for concurrent isolated execution branches) to parallelize workflows.
5. Markdown Artifact Generation: Documents design decisions, implementation plans, and walk-throughs in structured markdown files.
6. Interactive User Consent: Automatically intercepts high-risk system commands or file reads/writes and requests user approval or permissions overrides.

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🧭 Step-by-Step Walkthrough & Usage

Antigravity operates in a continuous, state-aware cognitive loop. Unlike standard chat assistants, it interacts with your filesystem, processes messages from background tasks, and notifies you when actions finish.

1. File Manipulation (Multi-Replace)

When modifying code across a file, Antigravity uses multi-replace engines to target non-contiguous chunks without rewriting the entire file:

### Before
def add(a, b):
    return a + b

def subtract(a, b):
    return a - b

### Antigravity updates these chunks in a single operation:
def add(a: float, b: float) -> float:
    return a + b

def subtract(a: float, b: float) -> float:
    return a - b

2. Spawning Subagents

For complex research or background compilation, Antigravity spawns specialized subagents to keep the main context clean:

Spawn subagent: TypeName="research", Role="Database researcher", Prompt="Scan codebase for all SQL connection setups"

• What happens: The subagent runs in the background, executes searches, and notifies the parent agent with a consolidated summary when finished.

3. Background Task Orchestration

Instead of locking your terminal session during long runs, Antigravity pushes commands to background processes:

### Starts the server in the background
npm run docs:dev

• What happens: The agent receives task ID task-221, continues editing files, and receives automatic stdout alerts if the server crashes or completes its build.

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💡 Sample Ideation to Test

Try these patterns to maximize cooperation with Antigravity:

1. Interactive Planning: Use the /grill-me slash command to align with Antigravity on a design layout before editing files.
2. Async Build Triggers: Propose long-running test suites to Antigravity as background tasks. The agent will monitor the process and notify you via system sound or messages once the test pass finishes.
3. Refactoring Delegations: Propose a high-level task to rewrite a package. Antigravity will create an implementation_plan.md artifact, wait for your approval, and then execute changes step-by-step.