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What is Kodus?

Kodus is an open-source AI code review tool designed as an alternative to CodeRabbit. It was built to give development teams full control over model choice and costs while automating pull request reviews. The tool integrates with GitHub, GitLab, Bitbucket, and Azure DevOps, analyzing diffs and posting inline comments. Kodus learns from your project context and allows custom review rules in plain language. It supports multiple AI models including Claude, GPT-4, Gemini, and Llama, with zero markup on LLM costs. Key capabilities include context-aware reviews, technical debt tracking, security scanning, and a cockpit dashboard for engineering metrics. Kodus is ideal for teams that want flexible, cost-effective, and privacy-focused code review automation.

AI Tool Review Summary

Performance Score

4.5/5

Content/Output Quality

High, consistent, and context-aware

Interface

Clean and developer-friendly

AI Technology
LLMNLP
Purpose of Tool

Automated AI code review for pull requests with customizable rules and model choice.

Compatibility

Integrates with GitHub, GitLab, Bitbucket, and Azure DevOps; supports any OpenAI-compatible LLM endpoint.

Pricing

Freemium with a generous free tier and paid plans starting at $19/month

Features

Features with the highest value for users are highlighted here.

Context-aware code reviews

Custom review rules in plain language

Model agnostic (Claude, GPT-4, Gemini, Llama)

Zero markup on LLM costs

Syncs existing rules from Cursor, Copilot, etc.

Technical debt tracking and management

Engineering metrics dashboard

Privacy-first with no code storage

Who Is It For?

Engineering teams

Startups

Open source projects

Enterprise organizations

Remote teams

DevOps engineers

Tech leads

Security-conscious teams

Cost-conscious teams

Multi-model teams

Pricing

Free

$0/free
  • Up to 5 users
  • Basic code review
  • Community support
Popular

Pro

$19/monthly
  • Unlimited users
  • Custom rules
  • Technical debt tracking
  • Cockpit dashboard

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Pros & Cons

Pros

  • Saves significant time on code reviews, with reports of review times dropping from hours to minutes.
  • Offers full control over model choice and costs, with no markup on LLM API calls.

Cons

  • May require initial setup to configure custom rules and integrations.
  • As an open-source tool, support may rely on community resources rather than dedicated enterprise support.

FAQs

Just Launched

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