Google Antigravity IDE: The Agent-First Coding Platform, Reviewed

Google launched Antigravity in November 2025, and within four months it hit 6% developer adoption. That's fast for an IDE — especially one that rethinks how you interact with AI. Instead of autocomplete suggestions and chat sidebars, Antigravity gives you a mission control dashboard where AI agents autonomously plan, code, and test across your editor, terminal, and browser.

But is it ready for real work? After spending serious time with it, here's what you need to know — the genuine innovations, the frustrating rough edges, and when you should (or shouldn't) reach for it over Cursor or Claude Code.

📋 What You'll Need

• Personal Gmail account — Workspace accounts aren't supported yet
• Chrome browser — required for the browser agent extension
• macOS, Windows, or Linux — all three supported
• ~400MB disk space — for the initial download
• Optional: Google Cloud credits for cloud deployment tasks

🏗️ What Makes Antigravity Different

Most AI coding tools bolt intelligence onto a traditional editor. Antigravity does the opposite — it builds the editor around agent orchestration.

The core idea: you describe what you want built, and agents handle how. They write code, run it in the terminal, open a browser to test it, take screenshots, and report back with reviewable Artifacts.

Two Interfaces, One Tool

Antigravity has two distinct surfaces you switch between:

The Editor is a VS Code fork. Your extensions, themes, and keybindings carry over. You get tab completions, inline commands (Cmd + I), and an agent chat panel (Cmd + L).

The Manager is where things get interesting. You can run multiple agents in parallel across different workspaces, review their work as structured Artifacts, and leave Google Docs-style comments for the agent to incorporate — all without blocking execution.

⚡ Installation & First Setup

Step 1: Download and Install

Head to antigravity.google/download, pick your OS, and run the installer. Takes about 5-10 minutes.

Step 2: Configure Agent Policies

This is the most important decision during setup. Antigravity asks you to set three policies:

Step 3: Sign In and Choose Your Settings

Sign in with your Gmail, import VS Code/Cursor settings if you want, pick a theme, and install the agy CLI tool when prompted.

Step 4: Install the Browser Extension

The first time an agent needs browser access, Antigravity prompts you to install its Chrome extension. This enables agents to navigate pages, click elements, read the DOM, and record sessions.

🧠 Key Features That Matter

Multi-Agent Concurrency

Antigravity's biggest differentiator. You can spawn five agents running in parallel, each working on different tasks in different workspaces. One agent builds your API, another writes tests, a third handles the frontend — all simultaneously.

This isn't theoretical. The Manager view shows each agent's status, pending approvals, and generated Artifacts in real time.

Artifacts: Verifiable Work Products

Instead of dumping code into a chat window, agents produce structured Artifacts:

• Task lists — the agent's step-by-step plan
• Implementation plans — architecture and technical approach
• Code diffs — reviewable file changes
• Screenshots and recordings — browser test evidence

You review each Artifact and leave comments. The agent incorporates feedback without stopping its execution flow. It's closer to managing a junior developer than using a tool.

Built-In Browser Agent

This is genuinely useful. Agents can:

• Launch your web app in a built-in Chromium browser
• Navigate, click, scroll, and type to test UI flows
• Capture screenshots and video recordings as proof of work
• Read console logs for error detection

No other major AI IDE offers this natively. Cursor and Claude Code require you to switch windows and manually verify UI changes.

Learning and Knowledge Base

Agents save useful context and code snippets to a knowledge base that persists across sessions. You can also create:

• Rules (.agents/rules/) — coding standards agents must follow
• Workflows (.agents/workflows/) — reusable task templates invoked with /
• Skills (.agents/skills/) — specialized knowledge packages with scripts and references

If you've used CLAUDE.md files with Claude Code, this concept will feel familiar.

🤖 Supported Models

Antigravity isn't locked to Gemini. You get model choice:

You select the model per task from a dropdown in the Manager. Different tasks can use different models.

💰 Pricing & The Credit Controversy

Antigravity launched as free-for-all, but pricing has evolved — and not without backlash.

What Actually Happens in Practice

The free tier works for exploration and light projects. But heavy users hit rate limits fast, especially with Claude or GPT models.

The AI Pro controversy: Google originally advertised generous quotas refreshing every five hours. Users report that high-reasoning models now feel throttled, with weekly (not five-hour) refresh cycles. Google's AI for Developers forum is filled with complaints, and The Register covered the backlash in March 2026.

The credit system also lacks clear documentation on what each credit buys across different models.

🔒 Security: Don't Skip This

Antigravity agents can execute terminal commands, run JavaScript in a browser, and modify files. That power needs guardrails.

Real users have reported agents running aggressive commands like chmod -R 777. Here's how to protect yourself:

Essential security setup:

• Use Allow/Deny lists — whitelist safe commands (ls, npm test, git status) or blacklist dangerous ones (rm -rf, sudo, curl)
• Restrict browser URLs — set an allowlist in Settings > Browser to prevent prompt injection from compromised sites
• Run in a sandbox — use a VM, container, or macOS sandbox for untrusted projects
• Version control everything — review diffs before merging agent-generated code
• Keep credentials outside your workspace — agents can read any file in the project directory

⚖️ Antigravity vs. Cursor vs. Claude Code

Here's how the three leading AI coding tools stack up in April 2026:

When to Use Each

• Antigravity → Greenfield projects, R&D experiments, parallel multi-task workflows, web app testing with browser agent. Best when you want maximum autonomy and don't mind reviewing Artifacts.

• Cursor → Daily production coding where you want AI inline with your editing flow. Best if you're already in the VS Code ecosystem and want stability.

• Claude Code → Deep reasoning tasks, complex refactors, and repo-wide changes. Best when you need the highest code quality and don't mind working in the terminal.

Many developers use two tools together: Cursor for 80% of daily editing, and Antigravity or Claude Code for complex greenfield tasks.

🛠️ Practical Tips From Real Usage

After extended use, here's what actually matters:

Be explicit about deliverables. Don't say "build a login page." Say "create a login page with email/password fields, form validation, POST to /api/auth/login, and write Jest tests. Show me a screenshot of the rendered page."

Pin acceptance criteria in your task description. Agents work best with clear success conditions.

Use Planning mode for complex tasks, Fast mode for quick edits. Planning mode adds overhead but catches architectural issues early.

Request rationale. Ask agents to explain their decisions. This catches bad assumptions before they compound.

Paste key context files directly. Don't assume agents will find the right files. Reference specific files with @ mentions.

Check diffs before merging. Agents occasionally make bold changes (renaming files, restructuring directories) that weren't part of your request.

🔧 Troubleshooting

🚀 What's Next

• 📖 Read the official Google Codelabs tutorial for a guided first project
• 🔧 Explore MCP servers to connect Antigravity agents to external tools and data sources
• ⚡ Compare it against Claude Code's terminal workflow to see which approach fits your style
• 🧪 Try building a side project entirely with agents before using it on production code
• 🔐 Set up proper sandbox environments before giving agents terminal access on real projects

Want to see how other AI coding tools compare? Read our AI Coding Agents Compared guide or learn prompt engineering patterns for AI coding tools.