Google Antigravity 2.0 Review 2026: Is This the New Standard for Agentic Coding?
Hands-on Google Antigravity 2.0 review for 2026. We test the new desktop app, CLI, SDK, subagent orchestration, Gemini 3.5 integration, pricing, and compare it to Cursor, Claude Code, and Windsurf.
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Get PredictionsGoogle’s first swing at an agentic coding IDE — the original Antigravity — landed last year with a thud. Reviewers called it a “Cursor clone with worse UX,” developers ignored it, and the consensus was that Google had finally found something it couldn’t ship better than a startup. At Google I/O 2026 on May 19, the company tried again. Antigravity 2.0 is not a refresh. It’s a complete rebuild that rolls the old IDE, the Gemini CLI, the Jules agent platform, and the Android Studio AI features into a single standalone product.
We’ve been running Antigravity 2.0 against real codebases for the past 48 hours — TypeScript monorepos, a Go microservice, an old Android project, and a few greenfield Python experiments. This review covers what’s actually new, where Antigravity 2.0 pulls ahead of Cursor, Claude Code, and Windsurf, where it still falls short, and whether it’s worth switching to.
What Is Google Antigravity 2.0?
Antigravity 2.0 is Google’s agent-first development platform. It ships as three connected surfaces: a standalone desktop app (macOS, Linux, Windows), the Antigravity CLI (the renamed and rebuilt Gemini CLI), and an Antigravity SDK for building custom agents. All three talk to the same orchestration backend and share the same agent definitions.
The headline shift is that Google has stopped pretending Antigravity is an IDE. The 1.0 product wedged AI features into a VS Code fork. The 2.0 product is a workspace built around agents — the editor is a panel, not the center of the experience.
The headline specs:
- Standalone desktop app for macOS, Linux, and Windows — no longer a VS Code fork
- Antigravity CLI — replaces Gemini CLI, supports terminal-first agent workflows
- Antigravity SDK — Python and TypeScript, lets you define custom subagents and orchestration flows
- Subagent orchestration — spawn, supervise, and merge work from multiple agents in parallel
- Scheduled tasks via cron-style triggers and JSON hooks
- Managed execution — cloud sandboxes for long-running agent tasks
- Native Gemini 3.5 Flash integration — the default model, co-developed using Antigravity itself
- AI Studio, Android Studio, and Firebase integrations out of the box
- Voice command support for hands-free agent invocation
The Big Idea: Subagents as a First-Class Primitive
The most interesting part of Antigravity 2.0 isn’t the new editor or the CLI. It’s that subagents are treated as a real primitive in the platform — not a hack you wire up yourself, the way you do in Claude Code or Cursor today.
In practice this looks like a panel on the right side of the desktop app showing every agent currently running, what task it’s on, and what files it has open. You can click into any of them and see the conversation, the diffs in flight, and the terminal output. When a subagent finishes, its diff lands in a review queue. You approve, reject, or send it back with feedback.
This matters because the real bottleneck in agentic coding right now isn’t the model — it’s supervision. You can run ten Claude Code sessions in ten terminals, but you can’t actually watch ten terminals. Antigravity 2.0’s UI is the first one I’ve used that genuinely makes parallel agent work tractable for a single human. Whether that holds up under heavier loads is still an open question — but the design is right.
The CLI: Gemini CLI Reborn
The Antigravity CLI is Google’s replacement for the Gemini CLI. If you were using gemini in your terminal, that command still works as a shim, but it now forwards to antigravity under the hood, and Google has been clear that the Gemini CLI will be deprecated by end of 2026.
The CLI now supports:
- Multi-agent runs from a single command —
antigravity run --agents 3 "refactor the auth module"spawns three subagents that explore different approaches in parallel - Hooks in JSON — pre-commit, post-task, on-error, and custom event triggers
- Background scheduling —
antigravity schedulewith cron syntax for recurring tasks - Managed mode —
--managedruns the agent in a Google Cloud sandbox instead of locally - Streaming JSON output for piping into other tools
The hooks system is the part that will matter most to teams. You can wire Antigravity into your existing CI, your code review tools, and your incident response without writing glue scripts.
Gemini 3.5 Flash: The Engine Underneath
Antigravity 2.0 ships with Gemini 3.5 Flash as the default model, and Google announced the model was “co-developed” using Antigravity — meaning the agentic workflow itself drove training and evaluation decisions.
In practice Gemini 3.5 Flash sits in a different spot on the price/performance curve than any of the competition. It’s faster than Sonnet 4.6, cheaper than Gemini 3 Pro, and notably better at tool calling than Gemini 3 Flash was. Long-context performance is its real edge — at 1M tokens it still pulls relevant code from across a large monorepo without losing the thread, which is the failure mode that kills most agent runs.
For the heaviest work, you can swap the default to Gemini 3.5 Pro or even pipe in Claude Opus 4.7 via the bring-your-own-key feature. The platform is model-agnostic by design, though pricing on non-Google models reflects that you’re paying retail to the upstream provider.
What We Tested
We ran Antigravity 2.0 across four real projects:
TypeScript monorepo (38k LOC): Asked Antigravity to migrate from a deprecated state management library to a newer one. We spawned four subagents to handle different packages in parallel. Three finished cleanly, one needed a second pass. Total wall time: 42 minutes for a job that would have taken a half-day manually.
Go microservice (8k LOC): Bug fix that needed cross-package refactoring. Single agent, no subagents. Antigravity nailed the fix on the first try but proposed an unrelated lint cleanup we hadn’t asked for. Easy to reject.
Legacy Android project: This is where the Android Studio integration earns its keep. Antigravity could open the project, run gradle builds in its sandbox, and iterate on a UI bug without us touching Android Studio at all.
Greenfield Python data pipeline: Built from a one-paragraph spec. Antigravity scaffolded the project, set up tests, and got to a working prototype in under 30 minutes. The code was uninspired but correct.
Pricing
Google reworked the pricing tiers alongside the launch. As of May 2026:
| Plan | Price | Antigravity Limits | Notes |
|---|---|---|---|
| Free | $0 | Limited daily messages, Gemini 3.5 Flash only | Personal use, no managed execution |
| Pro | $20/mo | Standard limits, Pro models available | Most individual developers |
| AI Ultra | $100/mo | 5x Pro limits, priority access | Heavy users and small teams |
| Enterprise | Custom | Org controls, audit logs, VPC | Required for compliance use cases |
The new AI Ultra tier is aimed squarely at developers who were hitting Pro’s daily caps and bouncing to Cursor. At $100/month it’s still cheaper than running Cursor Max plus a Claude Code subscription, which is what most heavy users were doing.
Antigravity 2.0 vs The Competition
Here’s how Antigravity 2.0 stacks up against the agentic coding tools we use most:
| Feature | Antigravity 2.0 | Cursor | Claude Code | Windsurf |
|---|---|---|---|---|
| Standalone app | Yes | Yes (VS Code fork) | Terminal only | Yes (VS Code fork) |
| CLI | Yes (Antigravity CLI) | Limited | Yes (primary) | Limited |
| SDK | Yes (Python + TS) | No | Yes (Python + TS) | No |
| Subagent orchestration | Native UI | Manual | Manual | Manual |
| Scheduled tasks | Native | No | No | No |
| Managed cloud execution | Yes | No | No | No |
| Default model | Gemini 3.5 Flash | Configurable | Claude Opus 4.7 | Configurable |
| Pricing (Pro tier) | $20/mo | $20/mo | $20/mo | $15/mo |
The fairest summary: Cursor is still the better editor. Claude Code is still the better single-agent terminal experience. Antigravity 2.0 is the better orchestration platform. If your work has shifted from “AI helps me code” to “I manage a pool of AI workers,” Antigravity is the first tool built for that reality from the ground up.
For a deeper editor-vs-editor view, our Cursor vs Windsurf vs Copilot comparison covers the IDE side in detail. For terminal workflows, see our Codex vs Claude Code review.
What’s Good
- Subagent UI is a genuine breakthrough. No other tool makes parallel agent work this manageable for a single developer.
- CLI is finally first-class. Gemini CLI always felt like a side project. Antigravity CLI feels like the primary interface.
- Managed execution removes the “my laptop is the bottleneck” problem. Long-running agents run in Google’s sandboxes instead of pegging your CPU.
- Hooks are real. JSON-defined hooks let you wire Antigravity into existing tooling without scripting glue.
- Native voice control is more useful than expected for hands-free debugging while looking at a monitor.
- Google ecosystem integration is unmatched if you live in AI Studio, Firebase, or Android Studio.
What’s Bad
- Editor feels Google-y. The desktop app has Material-3 styling that looks fine but feels out of place for power users used to Cursor or Zed’s density.
- No extension ecosystem yet. VS Code forks like Cursor inherit the entire marketplace. Antigravity 2.0 starts from zero.
- Free tier is tight. You’ll hit daily limits within an hour of real use.
- Developer reaction has been mixed. The forced migration from Gemini CLI angered a lot of users — see the TechLoy coverage. If you have shell aliases or scripts built on
gemini, expect breakage. - Reliability hiccups. A handful of users have reported “Missing IDE” errors on first launch. Reinstalling fixes it, but it shouldn’t be needed.
- Lock-in pressure. The smoothest path uses Gemini models, Google Cloud sandboxes, and Google identity. You can bring your own keys and run locally, but it’s not the path of least resistance.
Should You Switch?
The honest answer depends on what you’re using today.
You’re on Cursor and happy: Don’t switch. Antigravity 2.0’s editor isn’t better than Cursor’s, and you’ll spend a week relearning workflows. Watch the space.
You’re on Claude Code and happy: Same answer. Claude Code’s single-agent terminal experience is still the best in class, and Anthropic’s models still edge Google’s on the hardest coding benchmarks.
You’re juggling multiple agent sessions across multiple terminals: Try Antigravity 2.0. The subagent UI is the first thing that genuinely helps with this.
You were already a Gemini CLI user: You’re getting migrated anyway. Lean in early.
You’re new to agentic coding: Antigravity 2.0’s free tier is the cleanest on-ramp of any tool we’ve tested. Start there.
The Bottom Line
Google’s first Antigravity was forgettable. Antigravity 2.0 is not. It’s the first agentic coding platform that takes seriously the idea that humans will be supervising fleets of agents, not pair-programming with one. The CLI rebuild, the SDK, and the subagent UI are all clearly the work of a team that has been using these tools every day, not adding features in the abstract.
It’s not going to displace Cursor as the editor of choice for most developers this year, and Claude Code is still the terminal tool to beat for serious single-agent work. But for the specific job of orchestrating multiple AI agents working on multiple parts of a real codebase, Antigravity 2.0 is the new standard. The rest of the field has six months to catch up before this becomes the obvious default.
If you want to dig deeper into the broader agentic coding stack, our best AI coding assistants roundup covers the field, and our best AI agent frameworks guide is the right next read if you want to build custom agents on top of platforms like this one.
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