Developer Tools · November 2025

Google’s New Antigravity IDE: Rethinking How We Code in 2025

For years we have been patching together local editors, plugins, terminals and browser tabs to build software. Google’s new Antigravity IDE asks a simple question: what if your entire development experience lived in the cloud, felt as fast as local, and came with an AI that understood your whole system from top to bottom?

What is Antigravity IDE?

Antigravity is a cloud-native, AI-first integrated development environment. Instead of installing compilers, SDKs and toolchains on your laptop, you spin up an Antigravity workspace that already contains:

preconfigured runtimes for major languages and frameworks,
instant Google Cloud sandboxes,
a project-aware AI pair programmer, and
shared collaboration spaces for your whole team.

Everything runs in Google’s data centers, but the interface feels like a native editor with keyboard-level latency and offline-aware caching.

Key features that feel like “antigravity”

The name is not just branding. Antigravity is designed to remove weight from the daily developer workflow.

One-click ephemeral environments: Need to test a feature branch with a specific database version and feature flags? Create an isolated workspace in seconds, share the URL with a teammate, and tear it down when you are done.
AI that sees everything: The built-in assistant is connected to your full repository, build logs, test runs and cloud resources. It can explain unfamiliar services, trace a bug across microservices and suggest refactors that span multiple repos.
Live cloud preview: As you code, Antigravity deploys lightweight previews to edge instances. Product owners can click a share link and review the latest version without waiting for a staging deployment.
Zero local setup: New team member? They log in, open the project, and start coding. No more “works on my machine” excuses.

Deep integration with Google Cloud

Antigravity is tightly coupled with Google Cloud services. From within the IDE you can:

browse Cloud Storage buckets and BigQuery datasets,
inspect Cloud Run, GKE and Cloud Functions deployments,
view logs and traces from Cloud Logging and Cloud Trace,
apply infrastructure changes through IaC templates with dry-run previews.

The AI assistant understands these resources too. You can ask, “Why is the checkout service slow in europe-west?” and it will inspect metrics, trace spans and recent rollouts, then propose likely causes.

AI pair programming, but actually useful

Antigravity ships with an AI pair programmer built on top of Google’s latest models. The difference is context: instead of seeing only the current file, the assistant can:

read your entire monorepo and dependency graph,
look at open pull requests and their discussions,
compare current logs with past incidents,
generate tests that match your existing patterns,
propose migration plans when you upgrade frameworks or libraries.

It behaves less like autocomplete and more like a staff engineer who knows the history of your system.

Collaboration and reviews built in

Because Antigravity lives in the cloud, collaboration is built into the core:

multiple people can view and edit the same file in real time,
inline comments stay attached to commits and code blocks,
pairing sessions can be started directly from the editor,
reviewers can see both code and live preview environments side by side.

Code review becomes less about reading static diffs and more about exploring a running system together.

Is Antigravity the future of development?

Antigravity will not replace local editors overnight. There will always be teams that prefer a minimal setup or have strict offline requirements. But for many organisations, the trade-off is compelling: less setup, more observability, and a powerful AI partner woven into every step.

If 2015 was the era of “which editor do you use?”, 2025 is quickly becoming the era of “which AI-native IDE and cloud stack do you build on?”. Google’s Antigravity IDE is a strong signal of where that future is heading.