Try Google Antigravity
Overview
Antigravity is Google's answer to a question most AI coding tools avoid: what should the development environment look like if agents, not humans, write most of the code? The conventional answer has been to bolt an assistant onto an editor. Antigravity starts from the other end — the primary surface is closer to mission control for a set of agents working in parallel than to a text editor with suggestions.
That reframing is the product's whole reason to exist. You dispatch work, watch agents progress across tasks, inspect what each one did and why, and intervene where needed. The editor is still there when you need to write code yourself, but it is no longer the centre of gravity. For developers who have already shifted to reviewing agent output more than typing, the layout matches how they actually work.
It is new, and it shows. The agent-first model is unfamiliar enough that the learning curve is real, the ecosystem around it is thin compared with a mature editor, and Google's history with developer products means reasonable people will wait to see whether it is still here in two years. It is genuinely worth trying, and it is not yet where you should move a team's daily work.
Key Features
Agent Mission Control
The primary interface manages multiple agents working in parallel rather than presenting a single file with suggestions in the margin.
Gemini Models Throughout
Built on Gemini, with the long context windows that make whole-repository reasoning practical.
Agent Trace Inspection
See what each agent did and why, which is the difference between trusting agent output and auditing it.
Repository-Level Tasks
Work is dispatched at the level of a task against a codebase rather than a prompt against a file.
Integrated Editor
A conventional editing surface is still available for the work you want to do yourself.
Review-Centred Workflow
The workflow assumes you approve and refine agent output, which is the honest description of how most agentic coding actually goes.
Pros & Cons
Advantages
- The most coherent attempt yet at an agent-first development environment
- Gemini's long context makes whole-repository reasoning realistic
- Agent traces make output auditable rather than magical
- Free tier lets you evaluate it properly
- Google resources behind it
Disadvantages
- Genuinely new — rough edges and a shifting feature set
- Thin ecosystem compared with established editors
- Real learning curve: the mental model is unfamiliar
- Google's record on sustaining developer products invites caution
Pricing Plans
| Plan | Price | Key Features |
|---|---|---|
| Free | $0 | Evaluation access with usage limits |
| Google AI Pro | $19.99 / month | Higher limits and expanded model access |
| Google AI Ultra | $249.99 / month | Highest limits and earliest feature access |
Best Use Cases
Google Antigravity Excels At:
- Developers who already delegate most coding to agents
- Parallel work across several independent tasks
- Teams standardised on Gemini models
- Anyone wanting to see where agentic development environments are heading
May Not Be Ideal For:
- Teams that need a stable, mature daily editor now
- Developers who want incremental AI assistance rather than delegation
- Organisations that cannot use Google models
How It Compares
Google Antigravity vs Cursor
Cursor is a mature editor that added excellent agents; Antigravity is an agent platform that includes an editor. Cursor is the safer choice for daily work today. Antigravity is the more interesting bet on where the category is going.
Google Antigravity vs Gemini CLI
Same models, opposite ergonomics. Gemini CLI is a terminal agent that fits into existing workflows; Antigravity asks you to adopt a new surface. Start with the CLI, graduate to Antigravity if parallel agent management is genuinely your bottleneck.
Final Verdict
Our Recommendation
Antigravity is the most intellectually honest product in the agentic coding field: it accepts that if agents write most of the code, the environment should be built for managing agents rather than for typing. The mission-control surface and trace inspection are the right ideas. It is also new, unfinished, and from a company whose developer product graveyard is well populated. Try it on a side project to understand where this category is going. Do not move your team onto it until it has a couple more releases and a clearer commitment behind it.