Kodus

AI code reviews in PRs for quality, security, and performance
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Kodus is an AI-powered code review tool built to automate pull request reviews and help engineering teams ship higher-quality code faster. Designed as an open-source code review agent, Kodus plugs directly into your existing Git workflow and delivers feedback where developers already work: inside the pull request. Instead of offering generic lint-style suggestions, it learns how your team writes software—your conventions, architecture, and patterns—so its reviews become increasingly aligned with your standards over time.

Kodus focuses on the areas that slow teams down or create risk: code quality, security, and performance. It highlights issues clearly and aims to provide actionable recommendations that make PRs easier to merge and less likely to introduce defects. Teams can also define custom review guidelines in natural language, allowing Kodus to enforce internal best practices (naming, structure, patterns, risk checks, and more) without requiring everyone to memorize long style documents.

Privacy is a key part of the product’s design. Kodus is built to keep your code private and secure, with assurances that code is not stored and is not used to train models. This makes it suitable for organizations that want AI assistance while maintaining strict control over source code and intellectual property.

Whether you’re trying to reduce review bottlenecks, catch security concerns earlier, or keep standards consistent across a growing team, Kodus acts like an always-on reviewer that supports your developers and keeps feedback consistent from PR to PR.

Review summary

Features

  • Automated AI-driven code reviews for pull requests
  • Open-source code review agent
  • Learns team conventions, patterns, and architecture over time
  • Custom review guidelines defined in natural language
  • Quality, security, and performance-focused feedback
  • Integration with existing Git workflows and PR discussions
  • Privacy-first approach: code not stored or used for model training

How It’s Used

  • Improve code quality and consistency by automating review checks and feedback
  • Reduce time spent on manual code reviews with clear, actionable PR comments
  • Identify security risks and enforce internal coding standards earlier in the workflow
  • Accelerate onboarding by applying consistent guidelines across contributors
  • Maintain performance and reliability by catching common pitfalls before merge

Plans & Pricing

Community

Free

Bring your own key
Self Hosted or Hosted by Kodus
Unlimited users
Unlimited issues on Quality Radar
Use up to 10 Kody Rules
Use up to 3 active plugins
Kody Learnings and Memory
Discord Community Support

Teams

$8.33 per user / month

Includes features of Community plan, plus
Use unlimited Kody Rules
Use unlimited active plugins
Priority queue for Kody Agents
Engineering Metrics / Cockpit
Discord Community and Email Support
AI Compute Add-on: +$20 per Devloper per Month
<ul>
<li>Unlimited PRs for a flat monthly fee

Enterprise

Custom

Includes features of Teams plan, plus
RBAC + Audit logs and analytics
Up to 5 hours month dedicated support with personalized onboarding
Private Discord Channel and Email Support

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