Cody by Sourcegraph vs Devin

Detailed side-by-side comparison to help you choose the right tool

Cody by Sourcegraph

🔴Developer

AI Development Assistants

AI coding assistant with full codebase context that answers questions, generates code, and performs refactoring across large repositories.

Was this helpful?

Starting Price

Free

Devin

🟡Low Code

AI Development Assistants

AI software engineer that codes, fixes bugs, and ships features autonomously. Builds full applications end-to-end with minimal supervision.

Was this helpful?

Starting Price

$500/mo

Feature Comparison

Scroll horizontally to compare details.

FeatureCody by SourcegraphDevin
CategoryAI Development AssistantsAI Development Assistants
Pricing Plans15 tiers15 tiers
Starting PriceFree$500/mo
Key Features

      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

      Not sure which to pick?

      🎯 Take our quiz →

      🔒 Security & Compliance Comparison

      Scroll horizontally to compare details.

      Security FeatureCody by SourcegraphDevin
      SOC2✅ Yes
      GDPR
      HIPAA
      SSO✅ Yes
      Self-Hosted❌ No
      On-Prem❌ No
      RBAC✅ Yes
      Audit Log
      Open Source❌ No
      API Key Auth✅ Yes
      Encryption at Rest✅ Yes
      Encryption in Transit✅ Yes
      Data Residency
      Data Retention
      🦞

      New to AI tools?

      Learn how to run your first agent with OpenClaw

      🔔

      Price Drop Alerts

      Get notified when AI tools lower their prices

      Tracking 2 tools

      We only email when prices actually change. No spam, ever.

      Get weekly AI agent tool insights

      Comparisons, new tool launches, and expert recommendations delivered to your inbox.

      No spam. Unsubscribe anytime.

      Ready to Choose?

      Read the full reviews to make an informed decision