Google Antigravity Now Available and Deeply Integrated with Gemini Enterprise

Software engineering leaders face a growing operational paradox: while AI tools promised unprecedented development velocity, managing them has introduced a web of complexity. Engineering organizations are bogged down by seat-license sprawl, standalone vendor invoices, fragmented security policies, and unpredictable API overages for point-solution developer tools.

We are thrilled with Google Cloud’s recent announcement that Google Antigravity is expanding directly into Gemini Enterprise subscriptions.
(If you are not yet familiar with Gemini Enterprise, read our Solutions Spotlight on Gemini Enterprise)

Bundled natively into Gemini Enterprise licenses (Standard, Plus, and Standard Emerging Market tiers), engineering teams gain access to end-to-end agentic workflows without extra per-seat add-on fees or separate vendor contracts.

This integration delivers three core strategic advantages to enterprise technology leaders:

Unified Enterprise Licensing: Eliminate point-solution sprawl by equipping your entire developer fleet with autonomous AI capabilities directly through your existing Gemini Enterprise subscription.
Zero-Friction Governance & Identity: Onboard thousands of engineers instantly using Workforce Identity Federation (WIF) and existing corporate SSO, backed by enterprise-grade data privacy (your code is never used to train base models).
Predictable FinOps Guardrails: Maintain strict oversight of AI spend with project-wide pooled token quotas, opt-in monthly overage caps, and off-peak execution discounts integrated directly into Google Cloud Billing.

What Makes Google Antigravity Different?

Unlike conventional AI coding assistants that focus strictly on synchronous code inline suggestions, Antigravity introduces two distinct modes tailored to how developers actually work:

Editor View (Hands-On Mode): A lightning-fast, AI-powered IDE experience with inline commands and tab completions for synchronous execution.
Agent Manager (Mission-Control Mode): An asynchronous management surface where developers assign complex, multi-file objectives to autonomous AI agents.

The Core Loop: Plan, Execute, Verify

When you assign a task in Antigravity, the underlying Gemini-powered agents follow a rigorous execution loop:

Plan: The agent breaks down complex requests (e.g., refactoring a service, migrating APIs, or creating end-to-end feature suites) into clear execution steps.
Execute: The agent navigates your workspace, edits files across modules, executes terminal commands, and acts independently across browser environments.
Verify: Rather than making blind changes, agents run local tests, inspect build outputs, and capture Artifacts – structured deliverables like task lists, step-by-step walkthroughs, UI screenshots, and headless browser recordings that developers can review and comment on directly.

From generating production QA code to accelerating legacy modernizations across global enterprises, Antigravity is proving that agentic workflows transform software delivery speed without sacrificing reliability.

What’s New: Antigravity in Gemini Enterprise

By integrating Antigravity into the Gemini Enterprise ecosystem, engineering leads and IT administrators get a unified platform to empower developers while keeping control over security, compliance, and costs.

1. Work Anywhere: New IDE Extensions & Native Tooling

Antigravity is no longer restricted to a single surface. Developers can tap into Antigravity 2.0 through:

Brand-New IDE Extensions: Native support for Visual Studio Code, JetBrains IDEs (preview), Visual Studio (preview), and Zed (preview).
Native Android Studio Integration: Android developers can leverage Antigravity’s agentic quota natively inside Android Studio to write, debug, and optimize mobile apps faster.
Desktop App & CLI: The flagship Antigravity 2.0 desktop app and full-featured CLI for terminal-heavy workflows.

2. Zero Friction Onboarding: Workforce Identity Federation

Managing separate API keys or standalone vendor accounts introduces security overhead and license sprawl. With Gemini Enterprise, developer onboarding is seamless:

Workforce Identity Federation (WIF) and Application Default Credentials (ADC) allow developers to log in using their existing corporate SSO (Okta, Entra ID, Ping Identity).
Agents inherit secure, authenticated enterprise credentials instantly, eliminating manual key provisioning while ensuring all activity remains within your corporate boundary under Google Cloud Terms of Service.

3. High Autonomy with Robust Guardrails

Allowing AI agents to run terminal commands, inspect files, and drive browsers requires transparent administrator controls:

Configurable Workspace Sandboxing: Restrict browser execution and Model Context Protocol (MCP) server permissions to authorized safe zones.
Central Audit Logging: Enable full, single-toggle audit logging to record all prompts, tool executions, and generated artifacts across your developer fleet.
Strict Data Privacy: Your proprietary codebase and agent outputs are never used to train base models.

Comprehensive Security & Data Sovereignty

Enterprise deployment demands strict risk management. Antigravity in Gemini Enterprise includes enterprise-grade security protections:

Strict Data Sovereignty under GCP ToS: Customer prompts, source code repositories, telemetry, and generated artifacts remain strictly within private customer cloud boundaries.
Threat Mitigation Against Indirect Prompt Injection: Model Armor and sanitized subagent execution sandboxes safeguard agents when processing external dependencies, third-party web content, or untrusted repository files.
Workspace Sandboxing & Git Isolation: Agents run within isolated execution sandboxes. File modifications are governed through configurable Git modes (inherit, branch worktrees, or share synchronized directories), ensuring agents cannot overwrite primary code branches without human verification.
Policy-Driven Terminal Execution: Administrators can configure strict Allow/Deny policy rules for command execution, requiring explicit developer confirmation before executing shell commands or dynamic scripts.
Central Audit Logging: Security operations (SecOps) teams can enable enterprise-wide audit logging to record agent interactions, system calls, and code modifications for compliance auditing.

Flexible Billing, Granular Cost, and Security Controls

A common challenge when scaling autonomous AI agents is unpredictable token consumption. Because agents iteratively reason, run tests, and self-correct, usage spikes can occur quickly.

To solve this, Google Cloud has launched dedicated FinOps and cost management features for Gemini Enterprise:

Shared Token Pools: Daily allowances are pooled project-wide across teams. Idle quota from one squad automatically powers high-demand workflows in another, maximizing subscription efficiency.
Opt-in Overage Caps: Admins can set strict monthly overage ceilings, ensuring active agent tasks aren’t abruptly killed mid-execution while preventing runaway invoices.
Off-Peak Execution Discounts: Schedule batch agent workloads (such as overnight test suite generation or large-scale documentation updates) during off-peak hours to reduce token rates by up to 50%.

Get Started with Dito

Ready to empower your engineering teams?

Contact Dito to explore Gemini Enterprise licensing options, configure seamless SSO onboarding, and set up enterprise FinOps guardrails tailored to your organization.