Google's Antigravity vs Cursor: The Multi-Agent Coding Era Begins

I’ve been using Cursor’s Agent Mode for months now—watching it autonomously refactor code, edit multiple files, run tests, and fix its own mistakes. It’s honestly been game-changing.

Then Google dropped Antigravity last week, and I spent the weekend rebuilding a side project with it.

Here’s what I figured out about where this whole agent thing is actually going.

Where Things Stand Right Now

GitHub Copilot is basically autocomplete on steroids. It suggests your next line based on what you’re doing, can update multiple files from a prompt, and mostly just stays out of your way. It’s fast, reliable, and makes you code quicker without really changing your workflow.

Cursor Agent Mode is autonomous—you give it a task and it’ll explore your codebase, make changes, run tests, and iterate until it’s done. With Cursor 2.0, you can run up to 8 agents in parallel, each working on different parts of your codebase simultaneously.

Antigravity is Google’s take on multi-agent orchestration from the ground up. You spin up multiple agents working on different parts at the same time—one on the API, another on the frontend, another writing tests. They all work in parallel across your editor, terminal, and even browser.

Both Cursor and Antigravity have multi-agent capabilities now, but they approach it differently.

How They Actually Work

Cursor feels like pair programming with a senior dev. Cursor started as a single-agent system but evolved with 2.0. It’s still built as a VS Code extension, and you can use it in traditional single-agent mode where one agent methodically works through a task. But now you can also run up to 8 agents in parallel using Git worktrees to isolate their work. It has role-based orchestration (planner, implementer, tester), and its proprietary Composer model is optimized for low-latency agentic coding. The whole thing feels polished and production-ready. $20/month.

Antigravity is more like managing a small dev team. Antigravity is Google’s multi-agent-first approach. It’s built on a heavily modified VS Code fork (Gemini 3 Pro) with a Manager View where you launch multiple agents that coordinate across your editor, terminal, and browser. What sets it apart is the transparency—each agent creates artifacts (task breakdowns, implementation plans, walkthroughs, browser session recordings) so you can see exactly what each one is thinking and doing. There’s also a knowledge base that learns patterns about your codebase over time.

What’s interesting is how transparent it is. Each agent creates these artifacts—task breakdowns, implementation plans, walkthroughs, even recordings of browser sessions. You can actually see what each agent is thinking and doing. There’s also this knowledge base that saves patterns and supposedly gets smarter about your codebase over time.

It works with Gemini, Claude Sonnet 4.5, and OpenAI models, and it’s free right now while Google tries to grab market share.

The main difference: Cursor evolved into multi-agent and feels like a natural extension of single-agent workflows—very stable and integrated. Antigravity was designed for multi-agent from day one and pushes harder on transparency and coordination patterns, but it’s rougher around the edges.

What It’s Actually Like to Use

Cursor is solid and dependable. It just works. Everything feels polished, your VS Code extensions work normally, and it behaves the way you’d expect. For $20/month you get something that’s genuinely enterprise-ready. I use it whenever reliability really matters—production code, important refactors, anything that needs deep understanding of the codebase. You can stick with single-agent mode for focused tasks or spin up multiple agents when you need parallelization.

Antigravity is interesting but rough around the edges. When you can split work into independent pieces, the multi-agent coordination is legitimately cool. The browser automation stuff is neat too—agents can interact with websites while they’re coding. And being able to see exactly what each agent is planning through those artifacts is really helpful. It’s free right now, which obviously helps.

But yeah, it’s not polished yet. You burn through credits fast. There are these “model provider overload” errors when lots of people are using it. Google’s pretty upfront about data security risks, which you should definitely take seriously. The Manager View takes some getting used to, and sometimes the agents mess with each other’s work when things don’t coordinate right.

When to Use Which

Both tools now offer multi-agent capabilities, so the choice isn’t about single vs. multi-agent anymore—it’s about maturity and what you’re working on.

Cursor is battle-tested and production-ready. Whether you’re using single or multi-agent mode, it’s stable, polished, and trustworthy for critical work.

Antigravity is still a bit away from becoming generally available. My advice? Wait for it to mature before adopting it full scale. Use it now to experience and get used to the multi-agent coding style—especially the transparency and coordination patterns it’s pioneering. But for production-related workloads, keep using Cursor.

My personal setup: Cursor for anything production-related, Antigravity for side projects and new features where I can experiment with the multi-agent stuff without worrying if it breaks. And honestly, sometimes I just use Copilot when I want quick autocomplete without the whole agent thing.

The cool part is both tools are going to push each other forward. Cursor will keep refining its multi-agent features—they ship fast. Antigravity will get more stable and polished. We’re still figuring out these agent coordination patterns and transparency models. The tools themselves will keep changing, but what we’re learning about agent orchestration and when to trust autonomous coding? That’s going to stick around.

Still feels like magic.

If You Want to Try Them

Cursor: cursor.com - $20/month, 14-day trial Antigravity: antigravity.google - Free in preview

Maybe grab a non-critical feature and try both? See which approach clicks with how you think.

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What’s your experience been with agent-based coding? Sticking with single-agent or trying the multi-agent thing? Would love to hear what patterns you’re figuring out.

#SoftwareEngineering #AgenticCoding #GoogleAntigravity #CursorIDE #AITools