Devin vs Cody by Sourcegraph

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

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.

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Starting Price

From $20/month

Cody by Sourcegraph

🔴Developer

AI 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

Free

Feature Comparison

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FeatureDevinCody by Sourcegraph
CategoryAI Development AssistantsAI Development Assistants
Pricing Plans75 tiers8 tiers
Starting PriceFrom $20/monthFree
Key Features
    • AI-powered code completion with codebase context
    • Natural language chat for code Q&A and generation
    • Auto-edit suggestions based on cursor and editing patterns

    Devin - Pros & Cons

    Pros

    • Truly autonomous coding agent (plans and executes independently)
    • Full development environment with browser and shell
    • Can handle complex multi-file changes
    • Integrates with GitHub and Slack workflows
    • Learns from codebase context

    Cons

    • Expensive at $500/month minimum
    • ACU-based pricing can escalate quickly
    • Still requires human review for critical code
    • No native MCP support
    • Output quality varies on complex tasks

    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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