Cursor vs Google Antigravity 2: Which AI IDE Wins in 2026?

Two AI coding IDEs dominated the conversation through the first half of 2026: Cursor 2.0, the polished VS Code fork that crossed $500M ARR and got picked up by more than half the Fortune 500, and Google Antigravity 2, the free, agent-first IDE Google launched at I/O alongside Gemini 3.5 Flash.

They’re often framed as direct competitors. They are not, really — they sit at different points on a spectrum from “AI-augmented manual coding” to “agentic automation.” Picking between them is less about which is better and more about which model of working actually matches your team.

We’ve used both for the last several weeks across greenfield and legacy codebases, solo and on small teams. Here’s the honest comparison.

TL;DR

	Cursor 2.0	Google Antigravity 2
Philosophy	AI augments you typing code	Agents do whole tasks, you review
Base model	Composer (proprietary)	Gemini 3 Pro
Other models	Claude Opus 4.7, GPT-5.5, Gemini 3	Gemini family only
Free tier	Limited (2 weeks pro trial)	Free, generous
Paid	$20/mo Pro, $40/mo Business, custom Enterprise	Free; paid Org tier launching
Best at	Production code, legacy, small edits	Greenfield, exploration, agent runs
Reliability	Mature, polished	Buggy, lots of rough edges
Enterprise	SOC 2 Type II, granular controls	Org tier new, less mature

Most teams should default to Cursor. Use Antigravity for greenfield exploration, for tasks you can fully delegate to an agent, or when you want to stay inside the Google ecosystem.

What They Actually Are

These products look superficially similar — both are AI-first IDEs with an editor and a chat panel — but the design centers on very different assumptions.

Cursor 2.0: AI-Augmented Coding

Cursor is a fork of VS Code with the AI features rebuilt into the core editor. The mental model is: you’re still writing code, but a model is sitting next to you, helping you. Tab autocomplete predicts your next edit. Composer mode lets you describe a change and accept or reject the diff. Cmd-K rewrites the selected code. Chat answers questions about the codebase.

The 2.0 update doubled down on this with a new proprietary model called Composer that’s optimized for code edits and runs faster than GPT-5.5 or Claude Opus 4.7 for most editing tasks. Cursor also added multi-agent runs — up to 8 parallel agents working on different parts of a task — and the ability to drop into agent mode when you want to delegate larger chunks.

But the center of gravity is still the editor. You’re typing, the model is helping, and you stay in the loop on every change. Even in agent mode, the agents complete tasks in seconds and present the diff for you to review.

Google Antigravity 2: Agent-First

Antigravity inverts the relationship. The center of the experience is not the editor — it’s the Agent Manager, a dedicated panel where you spawn agents, give them tasks, and watch them work. Agents can use multiple sub-agents, run for minutes at a time, and operate on big chunks of the codebase autonomously.

The 2.0 update made Antigravity a standalone desktop app (it was an extension before), added dynamic subagents, asynchronous task management, JSON hooks for customizing agent behavior, scheduled tasks via cron, and a slash-command interface that maps to Antigravity’s growing skill library.

The model under the hood is Gemini 3 Pro with Gemini 3.5 Flash for sub-agent tasks. You cannot swap in Claude or GPT-5.5 — the product is tightly bound to the Gemini family. That’s a design choice, not an oversight; Antigravity’s agent orchestration relies on Gemini-specific features like 2M token context and tool-use latency that other models don’t yet match.

The mental model is: you describe the outcome you want, the agents go achieve it, and your job is to review the result. You’re still in the loop, but you’re reviewing finished work rather than steering each change.

Side-by-Side: The Things That Matter

Pricing

Cursor’s pricing has stabilized:

• Hobby: Free, with limited fast requests
• Pro: $20/month — unlimited fast requests on most models, 500 fast requests on premium models
• Business: $40/user/month — SSO, admin dashboard, privacy mode by default
• Enterprise: Custom — SOC 2 Type II, deployment options, named support

Antigravity:

• Free: Unlimited usage with Gemini 3 Pro and 3.5 Flash, generous rate limits
• Organization tier: New as of Q2 2026, pricing not yet public; targets enterprise governance

This matters more than it looks. Cursor’s pricing model assumes the AI is doing meaningful work and the company is paying for it. Antigravity’s free tier is genuinely free in the way that early Cursor was — Google is subsidizing usage to pull developers into the Gemini ecosystem.

For a solo developer or small team, Antigravity costs nothing. For a 50-person engineering org, the Antigravity organization tier may end up similar to Cursor Business, but Cursor’s pricing is known and Antigravity’s is still being negotiated case-by-case.

Model Choice

Cursor supports a wide bench: Composer (proprietary, default), Claude Opus 4.7, Claude Sonnet 4.6, GPT-5.5, Gemini 3, and several open models. You pick per-task, and you can configure team defaults.

For a deep dive on the underlying models, see our Claude Opus 4.7 review and our GPT-5.5 vs Claude vs Gemini comparison.

Antigravity is Gemini-only. If you’ve already developed strong opinions about which model works best for which task — and many experienced AI-assisted developers have — that’s a real limitation. Gemini 3 Pro is excellent, particularly on long-context tasks, but it’s not the right model for every job.

The Cursor team’s position is that model choice is a feature. The Antigravity team’s position is that tight model-IDE integration is more valuable than choice. Both are defensible. The right answer depends on whether you trust the IDE vendor to pick the right model for you.

Reliability and Polish

This is where the gap is widest, and it’s not even close.

Cursor 2.0 feels mature. It’s a VS Code fork, so the editor side has years of polish under it, and the AI features are no longer in the rough-edges phase they were in 2024. Keyboard shortcuts work. Extensions work. The agent runs don’t break the editor state. We’ve used it for production work for months and the friction is minimal.

Antigravity 2 feels like a public beta. During our testing, sidebar icons disappeared and required an app restart. Some VS Code extensions broke the entire editor when activated. Arrow-key navigation occasionally stopped responding during agent runs. The Agent Manager itself crashed twice in a week. Saving the workspace state was unreliable.

The Antigravity team is shipping fast and most bugs from launch have been fixed, but in May 2026 the polish gap is real. For a production environment you spend 6+ hours a day inside, this matters a lot.

Agent Workflows

Both tools have agents, but the experience is very different.

Cursor’s agents are short-lived. You describe a task, the agent runs for 30 seconds to a couple of minutes, and you get a diff. Up to 8 agents can run in parallel on different parts of a problem. You’re still effectively the orchestrator — you decide what to delegate, you review each result.

Antigravity’s agents can run for much longer — 5, 10, sometimes 20+ minutes — and use sub-agents to break work into pieces. The Agent Manager treats agents like background processes: you spawn one, it goes off and works, and you check back. JSON hooks let you customize what the agent does at specific lifecycle points (before tool use, after file save, etc.).

For tasks that genuinely decompose well — “go through this codebase and add tests to every file in src/utils” — Antigravity’s long-running, multi-agent approach is clearly superior. For tasks where the spec is fuzzy and you need to steer as you go, Cursor’s short, reviewable runs are easier to manage.

Legacy Code

We tested both on a moderately gnarly 200K-LOC legacy codebase — Python 2 → 3 migration leftovers, inconsistent patterns, half-finished refactors.

Cursor handled this better. Composer’s tab completion stayed accurate even when the surrounding code was a mess, and Cursor’s @-mention system for pulling in distant files was easy to use when context was scattered.

Antigravity struggled. Gemini 3 Pro’s 2M token context window theoretically swallows the whole codebase, but in practice the agents kept making changes that broke things in files they hadn’t read. The agent-first model assumes the agent can reason about the whole problem, and on messy codebases that assumption breaks down.

This matches the broader pattern: agentic workflows work best on code the agent can fully model, which is greenfield code or well-structured codebases. For the kind of work most enterprise engineers actually do, manual control wins.

Enterprise Story

Cursor has the more developed enterprise story by a wide margin. SOC 2 Type II is signed and shipped. Privacy mode (no training on your code) is the default for Business and Enterprise tiers. Admin dashboards, SSO, audit logs, granular usage controls — all the table-stakes governance is in place.

Antigravity’s Organization tier launched recently and is still maturing. The Gemini-side compliance story is solid because it’s Google Cloud, but the specifics of how Antigravity inherits that — what flows where, what controls exist — are not yet documented in the same level of detail as Cursor’s.

For a procurement team evaluating in May 2026, Cursor is the safer choice. For a team that’s already committed to Google Cloud and Vertex AI, Antigravity has the cleaner integration story.

Where Each One Wins

Pick Cursor If…

• You’re doing production work in a real codebase and reliability matters
• You work on legacy code or large existing codebases
• You want model choice — Claude, GPT, Gemini, whatever fits the task
• You’re in an enterprise with procurement and compliance requirements
• You want the closest thing to “VS Code but smarter” — minimal workflow disruption
• You prefer steering every change rather than reviewing finished agent work

Pick Antigravity 2 If…

• You’re doing greenfield exploration or building prototypes
• You have tasks that genuinely decompose into agent-shaped work (test generation, refactors across many files, migration scripts)
• You’re deep in Google’s ecosystem — Gemini, Vertex AI, GCP
• The free pricing matters (solo developers, students, small teams)
• You want to be on the frontier of agent-first development and don’t mind the bugs
• You like the delegate and review model over the steering model

Pick Both If…

Plenty of developers run both. Cursor for the day job, Antigravity for nights-and-weekends projects or for tasks you want to spawn and forget. There’s no friction in having both installed — they don’t conflict.

What’s Missing From Both

A few things worth knowing if you’re evaluating either:

Neither has great support for terminal-first developers. If you live in Neovim or Helix, neither IDE is going to feel native. Cursor at least uses Vim mode well; Antigravity’s Vim support is minimal. For terminal-only AI coding, Claude Code and Codex remain better options.

Neither is great at multi-language polyglot projects yet. Both shine on TypeScript/JavaScript and Python. C++, Rust, Go, and Swift are all serviceable. Anything more exotic (Elixir, Clojure, OCaml) feels like an afterthought.

Both have weak debugging integration. AI is great at predicting what’s wrong, but neither IDE has built the kind of deep debugger integration where the agent can actually step through your code, inspect state, and reason about runtime behavior. This is the frontier — see the best AI agent debugging tools roundup for what’s coming next.

The Bigger Picture

Cursor and Antigravity represent two visions of where AI-assisted development is heading.

Cursor’s bet: developers stay in the driver’s seat, AI accelerates each step, and the IDE is the cockpit. This bet works because it doesn’t ask developers to change how they work — it makes their existing workflow faster.

Antigravity’s bet: the unit of work shifts from “edits” to “tasks”, developers become reviewers and orchestrators, and the IDE is the dashboard for a team of agents. This bet works only if agents get reliably good enough that delegating is faster than steering, which is true for some workloads and not yet for others.

Both bets will probably be right in different places. In May 2026, Cursor’s bet is paying off across more use cases — most engineers spend most of their time in messy production codebases where steering still wins. As agent capabilities mature, more work will shift into Antigravity-shaped slots. The frontier is moving toward Antigravity’s model; the present is mostly still Cursor-shaped.

Bottom Line

If you’re picking one tool right now and you do production engineering work, pick Cursor. The reliability, model choice, and enterprise maturity make it the safer bet in May 2026, and Composer is genuinely good enough to be the default for most editing.

If you’re building greenfield, exploring, or you want to be on the frontier of agentic development — and you don’t mind some bugs — try Antigravity 2. The free pricing makes it a no-cost experiment, and the agent workflows are genuinely a glimpse of how a lot of coding will work in 2-3 years.

The honest answer for most experienced developers: install both, default to Cursor for daily work, and pull Antigravity out when you have a task that’s actually agent-shaped. That’s the real workflow we landed on after a month of testing, and it’s the one we’d recommend.

Related Reading

• Google Antigravity 2 Review — deep dive on the standalone product
• Cursor IDE Review — full Cursor walkthrough
• Cursor vs Windsurf vs Copilot — the three-way IDE comparison
• Claude Code Review — terminal-first AI coding alternative
• Codex vs Claude Code — agent-first CLI options
• Best AI Coding Assistants 2026 — full landscape roundup