Google Antigravity vs Amazon Q Developer (now Kiro)
Google Antigravity is best for Agentic Workflows, while Amazon Q Developer (now Kiro) targets AWS Development. On our independent 100-point evaluation, Google Antigravity scores 92/100 vs Amazon Q Developer (now Kiro)'s 79/100 — a 13-point gap reflecting measurable differences across ten capability dimensions.
Google Antigravity
Quick Verdict
Google Antigravity focuses on Agentic Workflows and AI-Native Development and scores 92/100 in our independent evaluation. Google Antigravity represents a paradigm shift in AI-assisted development, moving beyond code completion to full agentic automation.
Amazon Q Developer (now Kiro)
Quick Verdict
Amazon Q Developer (now Kiro) focuses on AWS Development and Security Scanning and scores 79/100 in our independent evaluation. Amazon CodeWhisperer is an obvious choice for developers deep in the AWS ecosystem.
📊 Visual Score Comparison
Side-by-side comparison of key performance metrics across six evaluation criteria
Technical Specifications
| Feature | Google Antigravity | Amazon Q Developer (now Kiro) |
|---|---|---|
| Core AI Model(s) | Powered by Google's Gemini 3 Pro model as default, with support for Anthropic's Claude Sonnet 4.5 and OpenAI's GPT-OSS for flexible model selection. | Not specified |
| Context Window | Supports large context windows through Gemini 3 Pro's advanced architecture, with multimodal processing of code, images, and design mocks. | Not specified |
| Deployment Options | Available as a downloadable desktop application for Windows, macOS, and Linux. Currently in public preview with enterprise features planned. | Not specified |
| Offline Mode | Limited offline capabilities; core agentic features require cloud connectivity for AI model inference and agent orchestration. | Not specified |
Core Features Comparison
Google Antigravity Features
- Agentic development with autonomous AI agents
- Dual interface: Editor View and Manager View
- Artifact transparency system for trust verification
- Multimodal capabilities (code, images, design mocks)
- Multi-model support (Gemini 3 Pro, Claude Sonnet 4.5, GPT-OSS)
- Self-improvement mechanism learning from user feedback
Amazon Q Developer (now Kiro) Features
- Built-in security scanning for vulnerabilities
- Built-in security scanning to find and suggest remediations for vulnerabilities.
- Completions tailored to AWS services.
- Free for individual developers.
- Free tier for individual developers
- Provides code suggestions trained on billions of lines of code.
- Reference tracking for open-source code attribution
- Specialized in AWS SDK and infrastructure code
- Suggestions are optimized for AWS APIs like EC2, S3, and Lambda.
Pricing & Value Analysis
| Aspect | Google Antigravity | Amazon Q Developer (now Kiro) |
|---|---|---|
| Overall Score | 92/100 | 79/100 |
| Best For | Agentic Workflows, AI-Native Development, Multi-Agent Orchestration | AWS Development, Security Scanning, License Compliance |
| Detailed Pricing | View Google Antigravity pricing | View Amazon Q Developer (now Kiro) pricing |
Best Use Cases
Google Antigravity Excels At
- Orchestrating multiple AI agents to work on different parts of a large codebase simultaneously
- End-to-end feature development from design mocks to implementation using multimodal AI
- Complex refactoring tasks with autonomous planning, execution, and validation by AI agents
Amazon Q Developer (now Kiro) Excels At
- Developers working on AWS projects who need real-time code suggestions and security scans
- Security teams who need to scan their code for vulnerabilities and suggest fixes
- Developers who need to integrate with AWS services and generate code for specific AWS components
Performance & Integration
| Category | Google Antigravity | Amazon Q Developer (now Kiro) | Winner |
|---|---|---|---|
| Overall Score | 92/100 | 79/100 | Google Antigravity |
| Community Channels | 2 channels | 0 channels | Google Antigravity |
Google Antigravity vs Amazon Q: Agent-First vs AWS-First
Google Antigravity and Amazon Q Developer represent different philosophies—one focused on autonomous AI agents, the other on AWS ecosystem integration:
Agent-First vs AWS-First
Google Antigravity prioritizes autonomous AI agent workflows for any project. Amazon Q Developer (CodeWhisperer) is optimized specifically for AWS services and cloud development.
Standalone IDE vs IDE Extension
Antigravity is a complete development environment. Amazon Q integrates as an extension in VS Code, JetBrains, and AWS Cloud9.
AWS Service Optimization
Amazon Q excels at generating code for Lambda, S3, DynamoDB, and other AWS services. Antigravity provides general-purpose agentic development without cloud-specific optimization.
Security Scanning
Amazon Q includes built-in security vulnerability scanning and code remediation. Antigravity focuses on code generation with artifact transparency for trust verification.
Free Tier Availability
Amazon Q offers a generous free tier for individual developers. Google Antigravity's pricing model targets enterprise and power users.
Multi-Agent Orchestration
Antigravity can coordinate multiple AI agents on complex tasks. Amazon Q operates as a single assistant focused on AWS development patterns.
Choose Google Antigravity for agentic AI development, multi-agent orchestration, and when cloud vendor neutrality matters.
The Bottom Line
Google Antigravity and Amazon Q Developer (now Kiro) each serve different needs. Google Antigravity scores higher (92/100 vs 79/100) and tends to excel in Agentic Workflows and AI-Native Development. The right pick depends on your workflow, team size, and technical constraints.
Choose Google Antigravity if: you prioritize Agentic Workflows and AI-Native Development and want the higher-rated option (92/100 vs 79/100).
Choose Amazon Q Developer (now Kiro) if: you prioritize AWS Development and Security Scanning and accept a slightly lower headline score for its specialized fit.
Get the full comparison wallchart — scores, features, and decision guide in one printable PDF.