Devin vs Sweep

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

Devin

🔴Developer

AI Coding

Devin is an autonomous AI software engineer by Cognition that plans, executes, and reports on complex engineering tasks without constant human input.

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Starting Price

$500/mo

Sweep

🟡Low Code

AI Development Assistants

AI junior developer that turns GitHub issues into pull requests. Automates bug fixes, feature implementation, and code maintenance tasks.

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Starting Price

Free

Feature Comparison

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FeatureDevinSweep
CategoryAI CodingAI Development Assistants
Pricing Plans122 tiers21 tiers
Starting Price$500/moFree
Key Features
  • Cloud AI software engineering agent
  • Plans, codes, tests, and opens pull requests
  • Parallel task execution for migrations and refactors

    Devin - Pros & Cons

    Pros

    • Genuinely autonomous — handles multi-step tasks without constant prompting
    • Parallel agents allow multiple tasks to run simultaneously
    • Documented enterprise case studies with real efficiency numbers (12x at Nubank)
    • Core plan entry price dropped from $500 to $20 in 2026, much more accessible
    • Works inside existing GitHub/Slack/CI workflows
    • Can tackle migrations and test generation at scale that would be prohibitively manual

    Cons

    • ACU costs add up fast on longer tasks — real monthly spend can reach $300-500
    • Struggles with ambiguous or architecture-level tasks that require deep context
    • Output still needs human review before merging PRs
    • Not an in-editor experience — separate from Cursor, VS Code workflows
    • Requires clear task specifications to produce good output
    • Enterprise features (VPC, SSO) only available at custom pricing tiers

    Sweep - Pros & Cons

    Pros

    • Autonomous GitHub integration that converts issues into working pull requests without manual intervention or setup
    • Sophisticated codebase analysis that understands architecture patterns and maintains consistency across changes
    • Handles routine maintenance tasks like bug fixes, dependency updates, and refactoring that typically consume engineering time
    • Self-validating workflow that runs tests and adjusts implementations based on CI/CD feedback
    • Learning system that improves over time by understanding team patterns, coding standards, and feedback

    Cons

    • Limited to GitHub ecosystem, making it unsuitable for teams using other version control platforms
    • May struggle with complex business logic or domain-specific requirements that require deep contextual understanding
    • Requires careful issue writing and clear specifications to produce optimal results

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    🔒 Security & Compliance Comparison

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

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