Google Antigravity vs Kiro
Google vs AWS in the agentic IDE space. Antigravity emphasizes multi-agent orchestration and autonomous operation. Kiro emphasizes spec-driven development — structured requirements before code. Both are VS Code-based. Antigravity is free in preview; Kiro starts at $20/mo with a free tier.
Google Antigravity
Choose if: You want to run multiple autonomous agents in parallel with a free (preview) product backed by Google.
Google's agent-first AI development environment
Kiro
Choose if: You want structured, spec-driven development where AI generates requirements before writing code.
AWS's spec-driven agentic IDE
Feature Comparison
| Feature | Google Antigravity | Kiro |
|---|---|---|
| Starting price | Free (preview)✓ | $20/mo (50 free credits) |
| AI approach | Multi-agent orchestration | Spec-driven with Agent Hooks |
| Planning before coding | Agent-managed | Structured requirements (EARS)✓ |
| Automation | Manager view for agents | Agent Hooks on file save |
| CLI support | IDE only | Full CLI with headless CI/CD✓ |
| Multimodal input | Text prompts | Images, sketches, UI designs✓ |
| Backing | AWS | |
| Maturity | Public preview | Released✓ |
Pricing Comparison
Google Antigravity
| Free | $0 |
+ Pricing expected after preview ends, Based on VS Code — may require Gemini API costs later
Kiro
| Free | $0 |
| Pro | $20/mo |
| Pro+ | $40/mo |
| Power | $200/mo |
+ Overage at $0.04/credit beyond plan limit, 500 bonus credits for new signups (30-day expiry), Unused monthly credits do not roll over
Pricing last verified: 2026-04-21
Google Antigravity: Strengths & Limitations
Strengths
- +Agent-first architecture — agents work with greater autonomy than copilot-style tools
- +Manager view for orchestrating multiple agents across workspaces simultaneously
- +Verifiable deliverables — agents produce artifacts, screenshots, and browser recordings
- +Multi-model: Gemini 3.1 Pro, Claude Sonnet/Opus 4.6, GPT-OSS-120B
Limitations
- -Still in public preview — pricing and long-term availability uncertain
- -Heavily tied to Google ecosystem and Gemini models
- -Based on VS Code fork — questions about differentiation long-term
- -Newer product with smaller community than Cursor or Windsurf
Kiro: Strengths & Limitations
Strengths
- +Spec-driven development — converts prompts into structured requirements before coding
- +Agent Hooks automate testing, docs, and code quality on file save
- +Multimodal input — accepts images, architecture sketches, and UI designs
- +Full CLI with headless CI/CD support for automation pipelines
Limitations
- -Spec-driven approach adds upfront planning time vs pure prompt-to-code tools
- -Credits don't roll over — unused monthly allocation is lost
- -Newer product with smaller community than Cursor or Copilot
- -VS Code compatibility is good but extension coverage not yet complete
Which One Should You Pick?
Google Antigravity is best for: Developers who want to orchestrate multiple autonomous AI agents from a single IDE.
Kiro is best for: Developers who want structured, spec-driven AI development with automated quality hooks.
Last updated: 2026-04-21