In case you missed it, here's a recap of what Google announced at I/O today. Some of these are updates, some are brand new. Let's get into it.

The Antigravity Ecosystem

Antigravity 2.0

Google officially introduced Antigravity 2.0, the next evolution of its AI development platform.

Think of it as a mission control center for AI agents. Instead of just chatting with an AI assistant, Antigravity lets developers orchestrate multiple agents, tools, workflows, and cloud resources in one place. It’s designed for teams and enterprises that want to build agent-powered applications at scale.

For enterprise users, Antigravity connects directly to your Google Cloud project and automatically follows the same security rules, permissions, and policies your organization already uses.

Google is basically trying to turn AI agents into actual coworkers.

Antigravity IDE
Because Antigravity is now an agentic platform, Google needed a separate place for the code editor experience. That's the Antigravity IDE. It's basically what the original Antigravity app was.

Honestly, I'm not sure why Google didn't just make two modes in one app. But okay.

Antigravity CLI
From what Google showed during the keynote, this looks like a revamped replacement for Gemini CLI.

Google didn’t fully explain the differences on stage, but the biggest clue is this:

Google already published a migration guide for moving from Gemini CLI to Antigravity CLI, which strongly suggests Gemini CLI will eventually be deprecated.

If you want to read more about the transition, Google posted the official update here: Google’s migration update for Antigravity CLI

I also don't know why they make a new product for this. I mean, why not just updating the Gemini CLI?

Android Development Is Getting More Agentic Too

Google also announced several updates focused on Android development.

Android CLI + Android Knowledge Base
Google officially brought Android support into Antigravity through Android CLI — a tool that prepares agents for Android development workflows.

One of its biggest features is the Android Knowledge Base, which acts as a constantly updated source of official Android developer guidance. This allows AI agents to pull the latest best practices, APIs, and documentation while working on your project.

Google also introduced something called Android Skills — open-source skills that help LLMs better understand Android codebases and execute more complex workflows correctly.

Google's internal team claims this uses 70% fewer tokens and completes tasks 3x faster. Of course, those are Google’s own benchmarks, so we’ll have to wait for real-world testing to see how accurate those numbers are.

Migration Agent — Possibly One of the Coolest Demos
Google gave a preview of Migration Agent — a tool that can migrate your existing app into a native Kotlin Android app. React Native, web framework, or iOS — it doesn't matter. Still in preview, but the concept is interesting.

Web Updates

Modern Web Guidance
Moving over to web development, Google introduced something called

Modern Web Guidance.
This is basically a collection of AI-ready web development best practices and tooling guidance designed specifically for AI agents.

The goal is simple:

Google wants AI coding agents to stop generating outdated web code.

Modern Web Guidance integrates directly with Baseline so agents can understand which web platform features are actually safe and modern to use across browsers.

This is a pretty big deal because one of the biggest problems with AI-generated frontend code right now is that it often recommends outdated APIs or old patterns.

WebMCP
During the Modern Web Guidance demo, Google also introduced WebMCP.

So… what exactly is it?

According to Google’s developer docs:

“MCP is a proposed web standard to help you build and expose structured tools for AI agents.”

In simpler terms:

WebMCP lets websites explain to AI agents how they should interact with them.

Imagine visiting a complicated dashboard or settings page and instead of manually configuring everything yourself, you could simply tell Gemini:

“Set this up for me.”

And the AI would understand how to navigate and interact with the site properly.

That’s basically the future Google is aiming for.

WebMCP is still experimental for now, and Google announced that the experimental MCP APIs will begin trials in Chrome 149.

HTML-in-Canvas API
Last but definitely not least, Google announced the new HTML-in-Canvas API.

This API allows developers to place real DOM elements directly inside a canvas.

That might sound small, but it actually solves one of the biggest limitations of canvas-based apps:

• accessibility and interactivity.
• Because the elements are real DOM nodes:
• They’re searchable
• Accessible
• Selectable
• Compatible with browser features
• Better for SEO
• Easier to interact with

This could become huge for browser games, design tools, editors, and highly interactive web apps.

That's everything from the developer keynote. The general direction is clear — Google is going all-in on agents. Antigravity is the center of that story.