Devin vs Cody by Sourcegraph
Detailed side-by-side comparison to help you choose the right tool
Devin
🟡Low CodeAI Development Assistants
AI software engineer that codes, fixes bugs, and ships features autonomously. Builds full applications end-to-end with minimal supervision.
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Starting Price
$500/moCody by Sourcegraph
🔴DeveloperAI Development Assistants
AI coding assistant powered by Sourcegraph's code intelligence platform, providing full codebase context awareness across repositories for code generation, Q&A, and refactoring.
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Starting Price
FreeFeature Comparison
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Devin - Pros & Cons
Pros
- ✓Truly autonomous coding agent (plans and executes independently)
- ✓Full development environment with browser and shell access
- ✓Can handle complex multi-file changes and architectural decisions
- ✓Integrates seamlessly with GitHub and Slack workflows
- ✓Learns from codebase context and maintains coding standards
- ✓Fair ACU-based pricing model (no idle time charges)
- ✓Parallel execution enables team-wide automation
Cons
- ✗Expensive at $500/user/month minimum for serious usage
- ✗ACU-based pricing can escalate quickly on complex debugging tasks
- ✗Still requires human review for critical production code
- ✗No native MCP support limits ecosystem integration
- ✗Output quality varies significantly on novel architectural challenges
- ✗Learning curve for optimal task decomposition and ACU management
Cody by Sourcegraph - Pros & Cons
Pros
- ✓Industry-leading codebase context awareness powered by Sourcegraph's code intelligence — understands cross-repository dependencies, call graphs, and type hierarchies
- ✓Multi-LLM flexibility lets developers choose the best AI model for each task without workflow changes
- ✓Strong enterprise adoption with proven scale — trusted by 4/6 top US banks and 7/10 top public tech companies
- ✓Amp agentic coding extends capabilities with autonomous multi-mode agent (Smart, Rush, Deep) and team thread sharing
- ✓Comprehensive IDE support covering VS Code, JetBrains, Visual Studio, Neovim, and Zed
- ✓Code attribution checking provides critical licensing compliance guardrails for enterprise teams
- ✓Privacy-first architecture — no training on customer code, full data isolation options, detailed audit logs
- ✓Auto-edit feature proactively suggests changes based on cursor position and editing patterns
Cons
- ✗Full enterprise context features require deploying and configuring Sourcegraph's code intelligence platform
- ✗Free tier usage limits are more restrictive than some competitors like GitHub Copilot's free offering
- ✗Maximum value requires proper codebase indexing setup — context quality scales with indexing completeness
- ✗Smaller extension marketplace compared to GitHub Copilot's broader third-party integration ecosystem
- ✗Amp (the agentic evolution) is a separate product requiring additional onboarding and different workflows
- ✗Enterprise deployment complexity can be significant for smaller teams without dedicated DevOps resources
- ✗Learning curve to leverage advanced features like custom prompts, context filters, and @-mentions effectively
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