Qodo (formerly CodiumAI) vs Sourcery

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

Qodo (formerly CodiumAI)

🟢No Code

AI code review

Qodo (formerly CodiumAI) is an AI code review and governance platform with PR review, IDE review, rules system, and cross-repo context, priced at $30/month starting with $0.012/credit usage.

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Sourcery

🔴Developer

AI Code Review

Sourcery started life as a Python refactoring tool and has expanded into a full AI code reviewer that covers Python, JavaScript, and TypeScript. The product runs as a GitHub or GitLab app that reviews every pull request automatically, leaving inline comments that go beyond style nits into structural feedback — refactor opportunities, dead-code removal, unhandled edge cases, function-extraction suggestions, and adherence to language-specific idioms. Each comment is actionable and most include a o

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Starting Price

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Feature Comparison

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FeatureQodo (formerly CodiumAI)Sourcery
CategoryAI code reviewAI Code Review
Pricing Plans37 tiers6 tiers
Starting Price
Key Features
  • AI-powered pull request code review
  • Real-time IDE code analysis
  • Automated test generation

    Qodo (formerly CodiumAI) - Pros & Cons

    Pros

    • Credit-based pricing pooled across the team is friendlier than per-seat for teams with uneven review volume
    • Living Rules System genuinely addresses 'AI writes code faster than humans review it' with mined org standards
    • Real on-prem / air-gapped Enterprise deployment plus BYOK keeps code and model spend on your infrastructure

    Cons

    • Rebrand from CodiumAI to Qodo has caused documentation drift across the web and legacy URLs
    • Cross-repo capabilities are Enterprise-only — mid-market teams can't access them on the $30/mo Pro Team plan
    • PR review noise filtering is less mature than CodeRabbit's in some teams' experience

    Sourcery - Pros & Cons

    Pros

    • Best-in-class for Python refactoring — years of static-analysis heritage show
    • Inline PR suggestions are one-click applicable, low friction for reviewers
    • Custom natural-language rules let teams encode architecture preferences
    • Free tier covers open-source and solo use; paid plans start at $12/seat
    • On-prem and SSO options make it viable for regulated environments

    Cons

    • JavaScript and TypeScript coverage is good but not as deep as Python
    • No MCP server today, so it does not slot into agentic Claude/Cursor flows directly
    • Review tone can feel pedantic on legacy codebases without tuning severity
    • Security scanning is gated heavily — Pro caps at 10 repos and biweekly scans
    • Overlaps with CodeRabbit and Codium AI, so picking a winner needs a trial

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