Cody by Sourcegraph vs Devin
Detailed side-by-side comparison to help you choose the right tool
Cody by Sourcegraph
🔴DeveloperAI Development Assistants
AI coding assistant with full codebase context that answers questions, generates code, and performs refactoring across large repositories.
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Starting Price
FreeDevin
🟡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/moFeature Comparison
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Cody by Sourcegraph - Pros & Cons
Pros
- ✓Industry-leading codebase context awareness powered by Sourcegraph's code intelligence
- ✓Multi-LLM flexibility allows choosing the best AI model for specific tasks
- ✓Strong enterprise features including compliance tools and admin controls
- ✓Works across all major IDEs with consistent experience
- ✓Understands cross-repository dependencies and complex system architectures
- ✓Code attribution checking prevents accidental inclusion of copyrighted code
Cons
- ✗Full enterprise features require Sourcegraph deployment and configuration
- ✗Free tier has significant usage limitations compared to competitors
- ✗Context quality depends on proper codebase indexing and maintenance
- ✗Less mature ecosystem compared to GitHub Copilot's extensive integrations
- ✗Learning curve for maximizing Sourcegraph's advanced code intelligence features
- ✗Enterprise deployment complexity may be challenging for smaller teams
Devin - Pros & Cons
Pros
- ✓Autonomous project planning and execution from high-level requirements to deployed applications without constant supervision
- ✓Full-stack development capabilities across multiple languages, frameworks, and deployment platforms
- ✓Sophisticated debugging approach that reads logs, hypothesizes causes, and iteratively tests solutions like experienced developers
- ✓Maintains long-term project context and memory, remembering architectural decisions and requirements across development sessions
- ✓Can learn new technologies and read documentation autonomously to adapt to different tech stacks and requirements
Cons
- ✗Limited availability with waitlist access and high usage costs for extended development sessions
- ✗Works best with clear, well-defined requirements - struggles with ambiguous or rapidly changing specifications
- ✗May make architectural decisions that don't align with long-term maintainability or team preferences without oversight
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