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Baz vs Sourcery

BazSourcery

Bottom line: Baz for engineering teams on GitHub; Sourcery for python-heavy teams.

BazBaz

AI code review agent that learns from your team's past PRs and discussions

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SourcerySourcery

AI code review and quality for Python and beyond

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Votes00
PricingFreemiumFreemium
CategoryCode ReviewCode Review
Tags
ai-code-reviewpull-requestsgithubcodebase-contextdeveloper-tools
code-reviewcode-qualitypythonrefactoringdeveloper-tools
Best for
  • Engineering teams on GitHub
  • Teams with established review conventions
  • Organizations reviewing large diffs
  • Python-heavy teams
  • Developers wanting in-editor quality feedback
  • Teams enforcing custom rules
Pros
  • Reviews with full-codebase context, not just the diff
  • Discussion Memory learns team conventions and history
  • Custom reviewers trained on your past PRs
  • Runs inside GitHub and suggests without blocking
  • CLI for local, requirement-based validation
  • Deep Python rule set (200+ built-in rules)
  • Real-time in-editor feedback across major IDEs
  • Custom rules via .sourcery.yaml
  • SOC 2 certified with zero-retention option
  • Bring-your-own-LLM support
Cons
  • Primarily GitHub-centric today
  • Value grows with PR history, so cold start is weaker
  • Newer company with a smaller track record
  • AI suggestions still require human judgment
  • Pricing is not fully transparent publicly
  • Rule depth outside Python is more limited
  • Smaller, seed-stage footprint than leaders
  • Pricing figures vary across sources
  • No self-hosted option noted
  • Best value skewed toward Python teams

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