Last updated: 2026-04-13

Google Antigravity vs Sourcegraph Cody

Independent comparison of features, performance, and use cases
Quick Answer

Google Antigravity is best for Agentic Workflows, while Sourcegraph Cody targets Enterprise Codebases. On our independent 100-point evaluation, Google Antigravity scores 92/100 vs Sourcegraph Cody's 86/100 — a 6-point gap reflecting measurable differences across ten capability dimensions.

92/100

Google Antigravity

Google's revolutionary AI-powered IDE that enables autonomous AI agents to handle complex coding tasks through an agent-first approach with dual interface views.
Agentic WorkflowsAI-Native DevelopmentMulti-Agent Orchestration

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.

86/100

Sourcegraph Cody

AI coding assistant with deep codebase understanding and powerful code search capabilities.
Enterprise CodebasesCode SearchLarge-scale Projects

Quick Verdict

Sourcegraph Cody focuses on Enterprise Codebases and Code Search and scores 86/100 in our independent evaluation. Cody excels at understanding large, complex codebases across multiple repositories.

📊 Visual Score Comparison

Side-by-side comparison of key performance metrics across six evaluation criteria

Technical Specifications

Feature Google Antigravity Sourcegraph Cody
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

Sourcegraph Cody Features

  • Deep codebase context and understanding
  • AI-powered code search and navigation
  • Multi-repository code intelligence
  • Enterprise-grade security and deployment options

Pricing & Value Analysis

Aspect Google Antigravity Sourcegraph Cody
Entry Price See pricing page Free — Was: Basic code search
Pro Tier — Discontinued(as of July 2025) Pro
Overall Score 92/100 86/100
Best For Agentic Workflows, AI-Native Development, Multi-Agent Orchestration Enterprise Codebases, Code Search, Large-scale Projects
Detailed Pricing View Google Antigravity pricing View Sourcegraph Cody 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

Sourcegraph Cody Excels At

  • Enterprise codebase navigation and understanding across multiple repositories and microservices
  • Technical support and troubleshooting by analyzing complex codebases and providing contextual solutions
  • Code modernization and migration projects with deep understanding of legacy system dependencies

Performance & Integration

Category Google Antigravity Sourcegraph Cody Winner
Overall Score 92/100 86/100 Google Antigravity
Community Channels 2 channels 0 channels Google Antigravity

The Bottom Line

Google Antigravity and Sourcegraph Cody each serve different needs. Google Antigravity scores higher (92/100 vs 86/100) 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 86/100).

Choose Sourcegraph Cody if: you prioritize Enterprise Codebases and Code Search and accept a slightly lower headline score for its specialized fit.

Try Google Antigravity Try Sourcegraph Cody
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