Kodus

Kodus is an open-source AI-based code review tool that integrates with GitHub, GitLab, Bitbucket, and Azure DevOps. It supports custom rule sets, monitors technical debt, and provides metrics without storing source code. The tool is model-agnostic and focuses on privacy and security.

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What is Kodus?

Kodus is an AI-powered code review assistant that works at the pull-request stage on major Git platforms. It learns from your codebase and team workflows to deliver tailored reviews. The tool is open-source, model-agnostic, and emphasizes data privacy by not storing code. **Use cases**: Automated code review on pull requests, Technical debt tracking and management, Custom review rule enforcement, Engineering metrics monitoring, Secure code analysis without storage **Key features**: Integrates with GitHub, GitLab, Bitbucket, Azure DevOps; Supports model-agnostic custom rule sets; Monitors and manages technical debt; Provides immediate metrics without storing code; Syncs existing rules from other tools; Extends functionality with Model Context Protocol; Centralized dashboard for engineering insights; Enterprise-grade security and SOC 2 compliance **Who it's for**: Engineering teams and developers who want automated, customizable code reviews to improve quality and reduce technical debt. It's suitable for teams using GitHub, GitLab, Bitbucket, or Azure DevOps.

Kodus is an AI-powered code review assistant that works at the pull-request stage on major Git platforms. It learns from your codebase and team workflows to deliver tailored reviews. The tool is open-source, model-agnostic, and emphasizes data privacy by not storing code.

Key features

  • AI code review
  • open source
  • custom rules
  • technical debt
  • GitHub integration
  • model agnostic
  • security compliance
  • Integrate with GitHub, GitLab, Bitbucket, Azure DevOps
  • Integrates with GitHub, GitLab, Bitbucket, Azure DevOps
  • Monitor technical debt automatically
  • Supports model-agnostic custom rule sets
  • Support model-agnostic custom rule sets
  • Monitors and manages technical debt
  • Provide immediate code quality metrics
  • Provides immediate metrics without storing code
  • Review code at pull-request stage
  • Syncs existing rules from other tools
  • Avoid storing source code
  • Extends functionality with Model Context Protocol
  • Centralized dashboard for engineering insights
  • Enterprise-grade security and SOC 2 compliance

Use cases

  • Automated code review on pull requests
  • Automate code reviews
  • Technical debt tracking and management
  • Track technical debt
  • Custom review rule enforcement
  • Enforce coding standards
  • Engineering metrics monitoring
  • Monitor pull requests
  • Secure code analysis without storage

Who is it for

  • Engineering teams
  • developers who want automated
  • customizable code reviews to improve quality
  • reduce technical debt. It's suitable for teams using GitHub
  • GitLab
  • Bitbucket
  • or Azure DevOps.

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