Code · Workflow

Antigravity (Google)

Google's AI IDE: Gemini 2M-context inside the editor

Antigravity is Google's answer to Cursor. The differentiator: Gemini's 2M-token context window means the IDE can hold the entire repo in its working memory. Best fit when your codebase is big and your platform is already Google.

CODEBUILDERINTERMEDIATEIntermediateFrom $0/mo
The stack
Antigravity
Plan + write + iterate

IDE-shaped surface backed by Gemini. Built-in planner agent + editor agent + review pass. Best when the repo is large enough that smaller-context IDEs lose the thread.

Free preview · paid tiers TBD post-GAAlts: Cursor, Claude Code, Codex
CodeRabbit
Automated PR review

Same role as the other ship-code variants. CodeRabbit is the consistent reviewer across IDE choices.

Free for OSS · $12/mo per dev ProAlts: Claude
Real monthly cost
small
$0/mo
Solo OSS, preview tier
  • antigravityFree preview
  • coderabbitFree (OSS)
medium
$32/mo
Solo dev, full IDE features
  • antigravity~$20 (post-GA est.)
  • coderabbit$12/dev
heavy
$160/mo
Team on Google Cloud
  • antigravity~$100 (5 seats)
  • coderabbit$60 (5 devs)
Workflow
  1. 1
    Open the repo in AntigravityAntigravity

    Same as VS Code. The first index pass takes a minute or two for a large repo; subsequent prompts use the cached context.

  2. 2
    Hand the planner the ticketAntigravity

    Antigravity's planner agent reads the whole repo. Generates a plan that respects existing patterns.

  3. 3
    Editor agent applies the planAntigravity

    Multi-file edits with diffs you accept hunk-by-hunk. The 2M context means it rarely loses the thread mid-refactor.

  4. 4
    PR + CodeRabbit reviewCodeRabbit

    Standard `gh pr create` flow. CodeRabbit posts inline review.

  5. 5
    Apply review fixesAntigravity

    Bounce findings back to the editor agent. The whole-repo context makes review-fix patches especially clean.

What it produced
Backend team on GCP

Ran a 4-week refactor (replacing an internal pubsub layer) with Antigravity as the primary IDE. The 2M-context kept the agent on-track across ~30 files; previous attempt with a smaller-context IDE drifted by file 12.

Common pitfalls
Preview-tier limits

Antigravity is in preview. Quotas, model availability, and pricing may shift before GA. Don't bet a deadline on a specific feature without a fallback IDE.

Whole-repo context can leak secrets

If your repo has committed .env or service-account keys, the agent will happily quote them in chat. Audit git history before pointing the agent at the repo.

Other ways to do Ship code with AI
Curated by @alex-w
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