Which is better for agentic coding, Claude Code or Sourcegraph Cody?

Claude Code scores higher (98/100 vs 89/100) based on our comprehensive evaluation. Claude Code excels in Agentic Coding and Complex Refactoring, while Sourcegraph Cody is better suited for Enterprise Codebases and Code Search.

What's the price difference between Claude Code and Sourcegraph Cody?

Both Claude Code and Sourcegraph Cody offer various pricing tiers. Claude Code has detailed pricing on their website. Sourcegraph Cody also provides transparent pricing. Check our comparison table above for the latest pricing details.

Which has better IDE support, Claude Code or Sourcegraph Cody?

Claude Code supports major IDEs. Sourcegraph Cody supports popular development environments. Both tools integrate well with modern development workflows.

Should I switch from Sourcegraph Cody to Claude Code?

Consider switching if you need Agentic Coding. Claude Code scored 98/100 in our evaluation compared to Sourcegraph Cody's 89/100. However, Sourcegraph Cody may still be better if you prioritize Enterprise Codebases.

Claude Code vs Sourcegraph Cody

Detailed comparison of features, performance, and use cases

98/100

Claude Code

The industry-leading agentic coding tool that lives in your terminal, understands entire codebases, and autonomously executes complex multi-file development tasks with unmatched precision.

Agentic CodingComplex RefactoringMulti-File DevelopmentCode ArchitectureAutonomous Task Execution

Quick Verdict

Claude Code excels at agentic coding and complex refactoring with a score of 98/100. Claude Code represents the pinnacle of agentic coding technology.

89/100

Sourcegraph Cody

AI coding assistant with deep codebase understanding and powerful code search capabilities.

Enterprise CodebasesCode SearchLarge-scale Projects

Quick Verdict

Sourcegraph Cody excels at enterprise codebases and code search with a score of 89/100. 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	Claude Code	Sourcegraph Cody
Core AI Model(s)	Claude Opus 4.5 (flagship, 80.9% SWE-bench), Claude Sonnet 4, Claude Haiku 3.5. Opus 4.5 outperformed all human engineering candidates on Anthropic's internal hiring tests.	Not specified
Context Window	200,000 tokens standard, with Sonnet-1M support. Agentic search understands entire project structures without manual file selection. Monorepo baseline ~20K tokens, leaving 180K for active development.	Not specified
Deployment Options	Terminal-native CLI via npm. Native VS Code and JetBrains IDE extensions. Headless mode for CI/CD and GitHub Actions. Enterprise deployment via AWS Bedrock or Google Cloud Vertex AI.	Not specified
Offline Mode	Cloud-based, requires internet. Designed for real-time agentic workflows.	Not specified

Core Features Comparison

Claude Code Features

Agentic multi-file editing with autonomous planning and execution
Industry-leading 200K token context window with full codebase understanding
Native terminal integration with any IDE or editor
Git workflow automation with PR creation and code review
Model Context Protocol (MCP) for external tool integration
Subagent architecture for complex task decomposition
CLAUDE.md project memory for persistent context

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	Claude Code	Sourcegraph Cody
Pricing URL	View Claude Code Pricing	View Sourcegraph Cody Pricing
Overall Score	98/100	89/100
Best For	Agentic Coding, Complex Refactoring, Multi-File Development, Code Architecture, Autonomous Task Execution	Enterprise Codebases, Code Search, Large-scale Projects

Best Use Cases

Claude Code Excels At

Autonomous feature implementation: describe functionality in natural language and Claude Code plans, implements across multiple files, runs tests, and creates PRs
Large-scale codebase refactoring with full context awareness—maintains consistency across hundreds of files without losing context
Legacy code modernization by analyzing entire codebases and executing systematic upgrades with rollback capabilities
CI/CD integration via headless mode for automated code review, testing, and deployment workflows
Complex debugging: paste an error, and Claude Code analyzes the codebase, identifies root causes, and implements verified fixes

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	Claude Code	Sourcegraph Cody	Winner
IDE Support	Terminal-native (works with ANY editor), plus native extensions for VS Code, Cursor, Windsurf, and JetBrains IDEs.	Multiple IDEs supported	Tie
Community	Active community	Limited community	Tie
Data Richness	Comprehensive	Basic	Claude Code
Overall Score	98/100	89/100	Claude Code

The Bottom Line

Both Claude Code and Sourcegraph Cody are capable AI coding tools, but they serve different needs. Claude Code scores higher (98/100 vs 89/100) and excels in agentic coding and complex refactoring. The choice depends on your specific workflow, team size, and technical requirements.

Choose Claude Code if: you prioritize agentic coding and complex refactoring and want the higher-rated option (98/100).

Choose Sourcegraph Cody if: you prioritize enterprise codebases and code search and don't mind a slightly lower score for specialized features.

Try Claude Code Try Sourcegraph Cody