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Codacy vs Baz

CodacyBaz

Bottom line: Codacy for engineering teams enforcing quality; Baz for engineering teams on GitHub.

CodacyCodacy

Automated code quality and security review across 40+ languages

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BazBaz

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

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Votes00
PricingFreemiumFreemium
CategoryCode ReviewCode Review
Tags
code-qualitystatic-analysissastsecuritypull-request
ai-code-reviewpull-requestsgithubcodebase-contextdeveloper-tools
Best for
  • Engineering teams enforcing quality
  • Security-conscious codebases
  • Multi-language projects
  • Engineering teams on GitHub
  • Teams with established review conventions
  • Organizations reviewing large diffs
Pros
  • Covers 40+ languages
  • Aggregates many analysis engines
  • Integrates with major Git providers
  • AI review and guardrails added in 2026
  • Free for open-source projects
  • 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
Cons
  • Can surface noisy findings to tune
  • Per-user pricing adds up for big teams
  • Configuration depth has a learning curve
  • AI features still maturing
  • Some engines overlap with existing tools
  • 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

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