Google Antigravity vs Cursor vs Claude Code: Honest Comparison After Building with All Three (2026)

The short version after building real projects in all three: Antigravity wins for autonomous multi-step tasks where the agent plans, codes, tests, and browser-verifies end-to-end. Cursor wins for daily editing - autocomplete, Tab, inline changes. Claude Code wins for complex multi-file reasoning in the terminal. Most serious builders use two or three. This guide covers exactly when to reach for which, with the full Antigravity deep dive (installation, artifacts, browser agent, rules, MCP, security) since that's the one most developers haven't tried yet.

If you want the broader landscape first, our Claude Code vs Cursor vs Windsurf comparison covers the full field.

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What Is Google Antigravity?

Google Antigravity is Google's free, agent-first IDE — and it's fundamentally different from every coding tool you've used before. While Cursor and Claude Code give you a single AI assistant in a chat panel, Antigravity gives you a Mission Control for autonomous agents.

The core idea: instead of asking one AI to do one thing at a time, you dispatch multiple agents to work on multiple tasks in parallel — and each agent can plan, write code, run terminal commands, and even browse the web to verify its own work.

It's built on the VS Code foundation (so your muscle memory transfers), but the entire experience is reorganised around agent orchestration rather than text editing. The result feels less like a chat-enhanced IDE and more like being an engineering manager who delegates work to a team of capable AI developers.

Antigravity is currently in free preview for personal Gmail accounts. Download it from antigravity.google/download.

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How Antigravity Differs from Cursor and Claude Code

Before diving in, it helps to understand what's actually different — not just the marketing.

Every other AI coding tool today is synchronous and linear. You type a prompt, the AI responds, you review, you type again. Even "agentic" features like Cursor's Composer or Claude Code's sub-agents work in a single thread per main task. You wait for one thing before asking for the next.

Antigravity is asynchronous and parallel. You dispatch five agents to work on five different tasks simultaneously. While Agent 1 is refactoring your auth module, Agent 2 is generating test cases for the billing API, and Agent 3 is checking the docs for a library question. You come back, review the artifacts each produced, give feedback, and move on.

The other key differentiator is the built-in browser agent. When an Antigravity agent builds a web app, it doesn't just write the code and hand it back to you. It spins up the server, opens Chrome, navigates the app, clicks through the flows, takes screenshots and video recordings, and produces a verification walkthrough — all autonomously. You watch the video to confirm it worked rather than running it yourself.

This is exactly the kind of capability that pushes us up the 5 Levels of AI Coding Agents ladder — Antigravity sits at Level 3-4 by default, where most other tools are stuck at Level 2.

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Installation

Antigravity is available for Mac, Windows, and select Linux distributions. You need a personal Gmail account — no paid subscription required during preview.

1. Download the installer for your OS from the official download page (linked above)
2. Run the installer and launch Antigravity
3. On the setup screen, choose your agent autonomy level (more on this below)
4. Import your VS Code or Cursor settings if you want — or start fresh
5. Sign in with your personal Gmail account

The autonomy level you set during setup is important. There are four modes:

• Secure Mode — Agent asks permission for almost everything. Slowest, safest.
• Review-driven development (recommended) — Agent asks for approval at key decision points: before executing terminal commands, before finalising implementation plans. Good balance.
• Agent-driven development — Agent proceeds autonomously with minimal checkpoints. Fastest, but higher risk of unwanted changes.
• Custom — You configure terminal, review, and browser JavaScript policies individually.

Start with Review-driven development. You can always loosen the controls once you trust how the agent behaves in your codebase. New to agent-first IDEs? Our Claude Code tutorial for beginners walks through the same mental model from a different angle and is a useful primer.

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The Two Core Views

Antigravity has two primary interfaces, and understanding when to use each is key.

Agent Manager: Mission Control

This is what you see on launch. Think of it as your engineering management dashboard. You define high-level objectives and dispatch agents:

• "Refactor the authentication module to use refresh tokens"
• "Generate a complete test suite for the billing API"
• "Build a conference schedule website with Flask and dummy data"

Each task spawns a dedicated agent instance. The Manager view shows all your active agents, their status, the artifacts they've produced, and any pending approvals waiting on you. You can run five tasks in parallel and check on them whenever you're ready — the agents keep working while you're doing something else.

Editor: Familiar but Agent-Aware

Switch to the Editor with Cmd+E and you're in a VS Code-style interface. File explorer, syntax highlighting, extensions — all there. The difference is an agent side panel on the right (Cmd+L to toggle) where you can give inline instructions, highlight problematic code and ask for explanations, or send terminal errors directly to the agent.

The inline commands are particularly useful. Highlight any code, press Cmd+I, and describe what you want. The agent makes the change in-place, shows you a diff, and you accept or reject.

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Artifacts: How Antigravity Proves Its Work

This is one of Antigravity's best ideas. Rather than just producing code and hoping you trust it, every agent creates a paper trail of artifacts:

• Task List — The agent's structured plan before it writes a single line of code. You can review and redirect before any work starts.
• Implementation Plan — Technical architecture: which files change, what the approach is, how it fits your codebase. This is the main review checkpoint where you give Google Docs-style comments.
• Code Diffs — Standard diff view, file by file, showing exactly what's changing.
• Walkthrough — Post-completion summary of what was done and how to verify it.
• Screenshots and Browser Recordings — For web tasks, the agent captures its own testing session as video. Watch a 30-second clip instead of running the app yourself.

The Google Docs-style comments on artifacts are the feedback loop. You don't need to re-prompt from scratch — you annotate the plan directly ("use FastAPI instead of Flask here", "add error handling for this case") and the agent ingests your comments and iterates.

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The Browser Agent

The browser capability is what separates Antigravity from everything else. When you ask Antigravity to build a web app, the agent doesn't stop at writing code — it:

1. Starts your local dev server
2. Opens Antigravity's managed Chrome browser (via a Chrome extension)
3. Navigates through the app, clicks buttons, fills forms, waits for spinners
4. Records a video of the full interaction
5. Takes screenshots before and after changes
6. Reports results in the Walkthrough artifact

To set up the browser: start any conversation and give a task like "go to antigravity.google". When the agent needs browser access, it will prompt you to install the Chrome extension. Install it, grant permission once, and the browser is available for all future tasks.

The JavaScript execution policy in settings controls how much the browser agent can do. "Request review" is safest — the agent asks before running JavaScript. "Always proceed" gives maximum autonomy but increases exposure to prompt injection on external sites.

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Building Your First App with Antigravity

Here's a real example to make this concrete. Let's build a simple web app end-to-end.

Open Agent Manager, select a workspace folder, and enter Planning mode. Then give this prompt:

Create a todo list web app.
- Backend: Python with FastAPI
- Frontend: HTML, CSS, vanilla JavaScript
- Features: add, edit, complete, delete todos
- Launch the app and verify all features work with browser testing
- Generate a README with setup instructions

What happens next:

1. The agent generates an Implementation Plan - you can comment "use SQLite for persistence" if you want, then approve
2. It creates a Task List - discrete steps like "create requirements.txt", "create main.py", "create index.html", "verify application"
3. It writes all the code and shows you diffs
4. It starts the FastAPI server, opens the browser, adds a few todos, edits one, marks one complete, deletes one, records the whole session as video
5. It delivers a Walkthrough with the video and a screenshot of the final state

If you want to change something - say the styling is wrong - comment directly on the screenshot in the Walkthrough: "Change the blue theme to orange." The agent makes the change, re-verifies in the browser, and updates the walkthrough.

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Head-to-Head: The Same Real Task in All Three Tools

The todo app above shows the Antigravity workflow. But the title of this article promises a comparison, so here's what actually happened when we ran a non-trivial task through all three tools.

The task: Add Google OAuth login to an existing Next.js 14 app with Prisma + PostgreSQL. The app already had email/password auth via NextAuth. We needed Google as a second provider, a "Continue with Google" button on the login page, account linking if the email already exists, and a working redirect flow.

This is a good comparison task because it touches config files, environment variables, database schema, UI components, API routes, and requires end-to-end verification. Here's what happened.

Antigravity: 11 minutes, zero manual testing

Dispatched one agent with the full requirements. The agent:

1. Generated an Implementation Plan listing every file it would touch (7 files). We commented "use the existing Button component for the Google button, don't create a new one." Agent acknowledged and adjusted.
2. Updated schema.prisma to add the Account model for OAuth, ran npx prisma migrate dev.
3. Modified [...nextauth]/route.ts to add GoogleProvider, added account linking logic.
4. Updated the login page with the Google button using our existing component.
5. Started the dev server, opened the browser, clicked "Continue with Google," completed the OAuth flow through Google's consent screen, verified the redirect back to the dashboard, checked the database for the linked account.
6. Delivered a 45-second browser recording showing the full flow working.

What worked: The browser verification is the killer feature here. We didn't touch the app once. The agent proved it worked with video.

What didn't work: The agent initially put the Google client ID directly in the auth config instead of reading from process.env. We caught it in the Implementation Plan review and commented "use env vars." Second attempt was clean. Without the review checkpoint, that would have shipped as a hardcoded secret.

Cursor: 7 minutes, but we did the testing

Opened the project in Cursor, hit Cmd+I in the NextAuth config file, described the same requirements. Cursor:

1. Modified the auth config in one shot - GoogleProvider, env vars, account linking. Clean.
2. We manually navigated to the login page, used Cmd+I again to add the Google button. Cursor suggested using the existing Button component without being told (it saw the import patterns in the file).
3. Generated the Prisma migration when we highlighted the schema and asked.

What worked: Faster wall-clock time. The inline editing flow is frictionless - highlight code, describe change, accept diff. Cursor's context awareness (noticing the existing Button component) was better than Antigravity's first attempt.

What didn't work: We had to test everything manually. Open the browser, click through OAuth, verify the redirect, check the database. That took another 5+ minutes on top. Cursor also didn't touch the .env.example file to add the new Google variables - we remembered to do that ourselves. Total time including manual testing: ~12 minutes.

Claude Code: 9 minutes, terminal-native precision

Ran claude in the project directory, gave the same prompt. Claude Code:

1. Read the entire auth setup first - spent ~20 seconds scanning every file in the auth directory before writing anything. This is the "reasoning" advantage: it understood the existing patterns before making changes.
2. Wrote all changes in one pass: schema, auth config, login page, .env.example, and a migration script. The .env.example addition was unprompted - Claude Code inferred it from the existing file.
3. Ran npx prisma migrate dev and npm run build to verify no TypeScript errors.

What worked: The multi-file reasoning was the best of the three. Every change was consistent with existing patterns. The unprompted .env.example update showed genuine codebase understanding. Build verification caught a type error that the other tools didn't surface (a missing image field on the session type).

What didn't work: No browser testing. Claude Code verified the build compiles and the migration runs, but we still had to manually open the browser and click through the OAuth flow to confirm the UI worked. For a backend-heavy task, that's fine. For a task with significant UI interaction, it's a gap.

The Verdict Table

| | Antigravity | Cursor | Claude Code | |---|---|---|---| | Time to working code | 11 min | 7 min | 9 min | | Manual testing needed | None (browser agent) | ~5 min | ~3 min | | Files touched correctly | 6/7 first try | 5/6 (missed .env.example) | 7/7 | | Caught own errors | Yes (build + browser) | No (we caught) | Partial (build only) | | Total time including verification | 11 min | 12 min | 12 min |

The total time was roughly equal. The experience was completely different. Antigravity felt like delegating to a contractor and reviewing the deliverable. Cursor felt like pair programming. Claude Code felt like handing a spec to a senior engineer who works in vim.

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Rules and Workflows: Codifying Your Standards

Once you're past basic use, you'll want Antigravity to follow your project's standards automatically — without repeating yourself in every prompt. This is the same mental model as the CLAUDE.md configuration pattern, just with different file paths.

Rules (Always-on guidelines)

Rules are passive instructions the agent always follows. Two scopes:

• Global rules (~/.gemini/GEMINI.md) — Apply to every project. Good for personal coding style: "always use TypeScript", "never hardcode API keys", "always write docstrings".
• Workspace rules (your-workspace/.agents/rules/) — Apply to this project only. Good for project-specific standards: "use the Repository pattern for DB access", "use Tailwind CSS", "modular file structure with one feature per file".

Example workspace rule (.agents/rules/code-style.md):

- All Python code follows PEP 8
- Every function must have a docstring
- No magic numbers — use named constants
- New features go in separate files, not in main.py

Workflows (On-demand saved prompts)

Workflows are saved prompts you trigger with / in the agent panel. Example: you create a generate-unit-tests workflow. Whenever you finish a feature, you type /generate-unit-tests and the agent writes and runs tests — no re-explaining what "unit tests" means in your project.

Create a workflow at .agents/workflows/generate-unit-tests.md:

- Generate unit tests for each method in the current file
- Use pytest with mock objects for external dependencies
- Name test files with test_ prefix
- Run tests and confirm they pass

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Skills: Specialised Knowledge Packages

Skills are the most powerful customisation in Antigravity. A Skill is a directory-based package of specialised knowledge the agent loads only when relevant — preventing the "tool bloat" problem of loading everything into context all the time.

A skill has this structure:

my-skill/
├── SKILL.md       # Required: metadata + instructions
├── scripts/       # Optional: Python/Bash scripts
├── references/    # Optional: docs, templates, examples
└── assets/        # Optional: images

The SKILL.md frontmatter tells the agent when to load it:

---
name: code-review
description: Reviews code changes for bugs, style issues, and best practices. Use when reviewing PRs or checking code quality.
---

## Review checklist
1. Correctness: Does the code do what it's supposed to?
2. Edge cases: Are error conditions handled?
3. Style: Does it follow project conventions?
4. Performance: Are there obvious inefficiencies?

Save this to ~/.gemini/antigravity/skills/code-review/SKILL.md for a global skill, or to .agents/skills/code-review/SKILL.md for a workspace skill.

Now when you ask the agent to "review this file", it automatically finds and loads the code-review skill — and follows your checklist exactly.

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MCP Servers: Connecting to External Tools

Antigravity has a built-in MCP store with one-click installs for Firebase, GitHub, databases, and dozens of other services. In Editor mode: ... menu → MCP Servers.

To add a custom MCP server manually, edit ~/.gemini/antigravity/mcp_config.json:

{
  "mcpServers": {
    "your-tool": {
      "command": "npx",
      "args": ["-y", "@your-org/mcp-server"],
      "env": {
        "API_KEY": "your-key"
      }
    }
  }
}

Any MCP server that works with Claude Code or Cursor works with Antigravity — same standard, same config format.

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Security: Controlling What the Agent Can Do

Giving an agent terminal and browser access is powerful — and risky if unconfigured. Antigravity has a layered permission system:

• Allow list — Commands that auto-execute without prompting. Start narrow: add command(ls), command(git status), command(npm run dev) as you build confidence.
• Deny list — Commands that are always blocked. At minimum add command(rm -rf), command(curl | sh).
• Browser URL allowlist — Restrict which URLs the browser agent can visit to prevent prompt injection from malicious external pages.

Access permissions in Settings → Agent → Permissions. Use the format command(prefix) to match by prefix — command(git) allows all git commands.

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Antigravity vs Claude Code vs Cursor: When to Use Which

These tools aren't interchangeable. After months of building with all three, here's the decision framework that actually holds up.

Use Antigravity when:

• The task is multi-step and you want to walk away ("build this feature end-to-end, test it, prove it works")
• You're building web UIs and want browser-verified proof without manual clicking
• You want to run 3-5 tasks in parallel and review artifacts later
• You're onboarding to a new codebase and want the agent to explore, plan, and present an architecture overview before touching anything

Use Claude Code when:

• The task requires deep multi-file reasoning ("this bug spans 4 files and a database migration")
• You want terminal-native control with no GUI overhead
• You need the agent to read and understand existing patterns before writing (Claude Code's upfront file scanning is the best)
• You're doing complex refactors where consistency across files matters more than speed

Use Cursor when:

• You're doing quick inline edits throughout the day (rename, extract function, fix a type error)
• You want autocomplete and Tab completion that feels instant
• The change is localized to 1-2 files and doesn't need autonomous execution
• You're in a fast feedback loop: write, test, adjust, repeat

The combo most builders land on: Cursor as the daily driver for editing, Antigravity for big autonomous tasks and greenfield features, Claude Code for debugging and complex reasoning problems.

We covered the full three-way comparison with additional test cases in Claude Code vs Cursor vs Windsurf, and the broader market context in the best AI coding agent in 2026. For solo developers picking just one, our Claude Code vs Cursor 2026 guide is the focused decision aid.

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Where Antigravity Breaks: Honest Limitations

No tool review is useful without the failure modes. These are the things that tripped us up during real usage.

Browser agent flakiness on SPAs. The browser agent works well on server-rendered pages and simple client-side apps. On complex SPAs with heavy client-side routing, lazy-loaded components, and skeleton screens, the agent sometimes clicks before the element is interactive, or misidentifies a loading state as the final render. We saw this on a React app with Suspense boundaries - the agent recorded a "successful" walkthrough that was actually screenshots of loading spinners. Workaround: add explicit wait instructions in your prompt ("wait for the spinner to disappear before taking screenshots").

Parallel agent file conflicts. Running 3 agents in parallel is powerful until two of them try to modify the same file. Antigravity doesn't have a merge conflict resolution system between agents - the last write wins silently. We lost an agent's work on a shared utility file because another agent overwrote it 30 seconds later. Workaround: scope parallel tasks to non-overlapping file sets. "Agent 1: work on /api routes. Agent 2: work on /components. Agent 3: work on /tests." Don't let them share files.

Latency vs Cursor is noticeable. Cursor's Tab completion is ~200ms. Antigravity's inline edit flow (Cmd+I) has a visible delay of 1-2 seconds before the agent even starts generating. For quick "rename this variable" or "add a null check" edits, the latency adds up. Don't use Antigravity for rapid inline editing - use Cursor.

Agent context resets between sessions. Unlike Claude Code where your CLAUDE.md persists context preferences, Antigravity agents start fresh each session. If you spent 20 minutes teaching an agent your project's patterns through review comments on artifacts, that context is gone when you close and reopen. The workaround is Rules (see above), but Rules can't capture everything you'd communicate through iterative feedback.

Google account lock-in during preview. Antigravity requires a personal Gmail. If your company uses Google Workspace, you can't use your work account yet. This means your Antigravity workspace is on your personal Google account while your code is in your company's GitHub org. Not a dealbreaker, but an awkward split that Cursor and Claude Code don't have.

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What Changed in Antigravity 2.0 (Google I/O 2026)

Google shipped Antigravity 2.0 at I/O 2026 on May 19. The core architecture concepts from 1.x (agents, artifacts, browser verification) carry over, but the surface area expanded significantly. Here's what each feature actually looks like in practice.

Multi-repo workspace

Antigravity 2.0 supports full multi-repo workspaces. Open multiple repositories in a single session and agents operate across repo boundaries.

This matters for microservice architectures. If your API lives in one repo and your frontend in another, you can now tell the agent "add a new endpoint to the API and consume it in the frontend" and it works across both repos in a single task. In 1.x, you had to do those as separate sessions.

Antigravity CLI

A terminal-native interface for invoking agents without opening the IDE. This closes the biggest gap Antigravity had vs Claude Code.

# Run a one-shot task
antigravity run "add input validation to all API endpoints in /api"

# Run with a specific workspace
antigravity run --workspace ./my-project "generate tests for utils/"

# Check status of running agents
antigravity status

# Review artifacts from CLI
antigravity artifacts --latest

The CLI integrates with CI/CD pipelines. You can add an Antigravity step to your GitHub Actions that runs a code quality sweep on every PR:

- name: Antigravity Code Review
  run: antigravity run "review the changes in this PR for security issues, performance problems, and missing error handling" --output review.md

Subagents

Agents can now spawn child agents for subtasks. A parent agent working on a feature can delegate test generation to a subagent, API doc updates to another, and merge results automatically.

In practice, when you give a large task, the parent agent creates a plan and farms out pieces. You see this in the Manager view as a tree: parent task at top, subagent tasks nested underneath, each with their own artifacts. The parent waits for all subagents to complete, then merges results and runs a final verification pass.

This is the 1.x parallel execution model taken one level deeper. In 1.x, you dispatched parallel agents manually. In 2.0, the agent does it autonomously.

Hooks

Event-driven automation. Configure hooks in .agents/hooks.json:

{
  "hooks": [
    {
      "event": "on_commit",
      "action": "run_workflow",
      "workflow": "generate-unit-tests",
      "filter": "src/**/*.ts"
    },
    {
      "event": "on_file_save",
      "action": "run_workflow",
      "workflow": "lint-and-format",
      "filter": "*.py"
    }
  ]
}

Every time you commit TypeScript files, the agent automatically runs your test generation workflow. Every time you save a Python file, it lints and formats. This replaces manual invocation of common workflows and is the Antigravity equivalent of git hooks, but with agent intelligence instead of shell scripts.

Scheduled tasks

Cron-style agent scheduling in .agents/schedules.json:

{
  "schedules": [
    {
      "name": "nightly-dependency-audit",
      "cron": "0 2 * * *",
      "prompt": "Check all dependencies for known vulnerabilities. Update any with patch-level fixes available. Create a summary of major version updates that need manual review."
    },
    {
      "name": "weekly-dead-code-sweep",
      "cron": "0 9 * * 1",
      "prompt": "Find unused exports, unreachable code paths, and dead CSS selectors. Remove them and verify the build still passes."
    }
  ]
}

Results appear as artifacts in your Manager view the next morning. This is genuinely new territory - neither Cursor nor Claude Code has anything like it. The closest equivalent would be writing custom CI jobs, but those don't have agent-level code understanding.

How 2.0 shifts the comparison

On pure feature count, Antigravity 2.0 closes the biggest gap vs Claude Code (CLI workflows) and opens new gaps vs Cursor (hooks, schedules, subagents). The daily editing experience - autocomplete, Tab completion, inline edits - still favors Cursor. Claude Code still leads on single-session multi-file reasoning depth. But Antigravity 2.0 is now the clear leader for autonomous, unattended code operations.

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Getting Started Today

Antigravity is free during preview with a personal Gmail. No credit card, no waitlist.

1. Download from antigravity.google/download
2. Set up in Review-driven mode
3. Install the Chrome extension when prompted (first browser task)
4. Try the todo app example above — you'll see the full artifact flow in 10 minutes
5. Add one workspace rule that encodes your coding standards

Following Google I/O 2026, Antigravity 2.0 is now live - major changes include a full multi-repo workspace, the Antigravity CLI for terminal-native agent invocation, subagents, hooks, and scheduled tasks. The guide above covers the core 1.x foundations; the architecture concepts carry over.

Want to go deeper on AI-powered development workflows? We cover Antigravity, Claude Code, Cursor, sub-agents, MCP, and the whole AI builder stack at AI Builder Club — $37/mo for unlimited access to every course and 1,500+ builders shipping with these tools daily.