kodus-io
Kodus is an open-source, model-agnostic AI code-review platform that runs on-premises or in the cloud, integrates with Git pull requests, and enforces customizable review rules while giving teams control over model choice, costs, and data privacy.
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Quick Overview
Best for: Coding
What it does
Coding software for decision-makers comparing workflow fit and alternatives.
Best fit
Coding
Pricing snapshot
Freemium from Free for 14 days
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kodus-io
Kodus is an open-source AI-driven code review platform designed for engineering teams that want automated, configurable reviews with control over model choice and data privacy. It operates at the pull request level—reading diffs and posting inline comments—while supporting self-hosted deployments so teams can keep IP inside their infrastructure. Kodus emphasizes being model-agnostic and zero-markup on LLM costs, allowing teams to use preferred models (Claude, GPT-4, Gemini, Llama, or OpenAI-compatible endpoints) and to configure rules and integrations to match existing workflows.
AI-powered code review tool automating code reviews for improved code quality and security.
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Claim this listingKey Features
Model-agnostic AI reviews
Supports multiple LLM providers (Claude, GPT-4, Gemini, Llama, any OpenAI-compatible endpoint) so teams choose their preferred model.
Open source & self-hostable
Kodus is open source and can run on your infrastructure with self-hosted runners to keep IP inside your environment.
Zero-markup LLM costs
Kodus charges no markup on LLM API calls; you pay the model provider directly while Kodus charges for the platform subscription.
Pull request level integration
Integrates with GitHub, GitLab, Bitbucket, and Azure DevOps to read diffs, post inline comments, and respect existing review workflows.
Custom review rules
Teams define review standards in plain language; Kodus detects rule files from Cursor, Copilot, Claude and other tools and enforces custom rules.
Business-rule validation
Pulls requirements from Jira, Linear, and Notion and checks PRs against those requirements, flagging violations.
Technical debt tracking
Unimplemented suggestions can be auto-tracked as issues so technical debt stays visible and can be reduced over time.
Engineering cockpit / metrics
Dashboard metrics like deploy frequency, cycle time, bug ratio and PR size to track and improve delivery performance.
Privacy & security controls
Source code is not stored, processing is real-time, data encrypted in transit and at rest, SOC 2 and self-hosted runners available.
Pricing
14-day free trial with up to 35 PR reviews included; no credit card required.
14-day Free Trial
Free for 14 days- Up to 35 PR reviews included
- No credit card required
Paid Subscription
Not listed on page- Platform subscription (no markup on LLM calls)
- Team-based billing and management
Use Cases
Automate and scale PR reviews
Reduce reviewer time by surfacing automated suggestions and inline comments so teams can move from hours to minutes per review.
Enforce project-specific standards
Define and apply team rules in plain language and detect existing rule files so reviews reflect your standards and knowledge sharing.
Validate business requirements in code changes
Extract requirements from Jira, Linear, and Notion and flag PRs that violate those requirements.
Track and reduce technical debt
Automatically convert suggested improvements into tracked issues to keep technical debt visible and actionable.
Run AI reviews on private infrastructure
Self-hosted runners allow sensitive codebases to be reviewed without leaving your infrastructure, meeting strict privacy needs.
Integrations
Git providers
GitHub, GitLab, Bitbucket, and Azure DevOps — Kodus integrates at the pull request level to read diffs and post inline comments.
Issue and requirements tools
Jira, Linear, and Notion — Kodus pulls requirements from these tools and validates PRs against them.
LLM providers
Compatible with Claude, GPT-4, Gemini, Llama, or any OpenAI-compatible endpoint (model-agnostic).
Rule sources
Detects and syncs existing rule files from Cursor, Copilot, Claude and other rule sources.
Benefits
Limitations
Frequently Asked Questions
Which AI models are supported?
Can I restrict the permissions Kodus uses?
Will I be charged for all developers in my organization?
Do you train your AI model with my code or data?
What Git providers are supported?
What does zero markup mean?
Do you store my source code?
Getting Started
- 1 Step 1: Start a free trial from the Kodus website (14-day free trial with up to 35 PR reviews; no credit card required).
- 2 Step 2: Choose setup path — 'Start with Git' or 'Start with Terminal' (site provides an install curl command: curl -fsSL https://review-skill.com/install | bash).
- 3 Step 3: Connect your Git provider (GitHub, GitLab, Bitbucket, or Azure DevOps) and configure which team members are included.
- 4 Step 4: Define or import review rules and connect Jira/Linear/Notion if you want business-rule validation.
- 5 Step 5: Run reviews and use the engineering cockpit to view metrics and tracked issues.
Support
[email protected] — primary contact for support and inquiries.
docs
Documentation available from the Kodus website (Docs link in site navigation).
community
Discord community and other resources linked from the Kodus site (Community and Resources sections).
changelog & blog
Changelog and Blog pages on the site for release notes and research (e.g., State of AI Code Review 2026).
API
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