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19Code reviewProvisional score

DeepSource

DeepSource

Hybrid static analysis and AI agent code review platform with Autofix patches for pull requests.

Updated

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The read

DeepSource pairs its own static analysis engine with AI agents to review pull requests on GitHub, GitLab, Bitbucket, and Azure, generating structured inline comments and pre-built Autofix patches that developers can apply in one click. It scans for bugs, security vulnerabilities, secrets, OSS dependencies, IaC misconfigurations, and code coverage gaps. The platform reports an 84.51 percent F1 score on the OpenSSF CVE benchmark. A free Open Source tier is available for public repositories, with a 14-day trial and 50 dollars in AI credits for new users. Enterprise self-hosting is available but priced only through custom quotes.

Where it shines

  • 84.51% F1 score on OpenSSF CVE benchmark demonstrates strong security precision
  • One-click Autofix patches reduce time from finding to fixing issues
  • Free tier for public repositories with no time limit

Worth knowing first

  • Enterprise self-hosted pricing requires custom quote, not self-serve
  • AI Review credits are consumed per review, adding variable costs on top of seat fees

Index score

76.5

Provisional. This score is read from the product's public capability, not from the one-prompt rebuild the fully reviewed entries went through, so treat it as a placing rather than a verdict.

Craft80
Speed77
Control72
Value76
Rank
19 of 54
Builds
Tools
Category
Code review
Output
Inline PR comments with one-click Autofix patches
Pricing
Free tier
Best for
Teams wanting high-precision security and quality scanning with auto-patches

Scores are our own editorial judgement, weighted craft 30, speed 25, control 25 and value 20.

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