Google Antigravity

Google Antigravity is built for the “tell an agent what you want, then verify the result” era.

Instead of living in chat transcripts and tool logs, Antigravity centers the workflow on Artifacts: concrete deliverables like task lists, implementation plans, screenshots, walkthroughs, and browser recordings. The vibe is less “assistant whispering in your ear” and more “mission control with receipts”.

Pricing Tiers

Antigravity launched as a public preview that’s free for individuals, with quotas and rate limits that reset on a cadence. If you become a power user (or you need priority access), you will eventually care about whatever paid tiers Google ties to higher limits.

Tip: Treat Antigravity as a productivity multiplier. When it’s doing more work for you, it will naturally consume more quota. Plan for that.

Core Features & Capabilities

• Verify with Artifacts, not logs
  Antigravity turns agent work into reviewable outputs: plans, screenshots, walkthroughs, and recordings. You can comment directly on Artifacts and keep the agent moving.

• Two modes: Editor + Manager
  Editor view feels familiar if you’ve used modern AI IDEs. Manager view is the “mission control” layer where you can orchestrate multiple agents across multiple workspaces.

• Agent access to the full loop
  Agents can edit code, run commands in the terminal, and use a browser to reproduce bugs, validate UI, and confirm fixes.

• Model optionality
  You are not locked into a single brain. Antigravity supports Google’s models and also third-party options, which is perfect when you want different strengths for different tasks.

• Learning and reuse
  Antigravity treats learning as a primitive: agents can save useful context and snippets to improve future tasks and reduce repeated explaining.

Pros & Cons

Pros:

• Great for “do the whole task” workflows: reproduce issue → implement fix → validate → show proof.
• Artifacts make trust practical. You can review outcomes fast without spelunking logs.
• Manager view is a real advantage when you have parallel work streams.
• Plays nicely with multi-agent, multi-model setups.

Cons:

• It’s powerful enough to hurt you if you hand it sharp objects. Terminal access means you should build habits like scoped tasks, repo backups, and review checkpoints.
• There is still a learning curve to prompting agents well (clear acceptance criteria helps).
• Quotas exist, and serious usage can push you toward paid tiers.

Summary

Further Reading

	antigravity.google	Antigravity home
	developers.googleblog.com	Google Developers Blog announcement
	codelabs.developers.google.com	Getting started codelab
	theverge.com	Launch coverage and feature overview