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Kodus

Open-source AI code review platform that analyzes pull requests with custom rules and Git provider integrations for engineering teams.

$8Starting price
37KMonthly visits
26Popularity
Kodus featured image

About Kodus

Kodus is an open-source AI-powered code review platform designed for engineering teams seeking automated, context-aware feedback directly within pull requests across Git-based workflows. It evaluates code diffs while considering the broader codebase, architecture, workflows, coding standards, and business rules to deliver targeted feedback on quality, security, performance, and style. The platform supports custom review rules written in natural language, along with a rules library, and can sync existing rule files from tools such as Cursor, Copilot, Claude, and Windsurf. Kodus operates in a model-agnostic manner, allowing teams to use their own API keys with providers like OpenAI, Claude, Gemini, Llama, or any OpenAI-compatible endpoint without additional markup on LLM usage. It integrates with Git providers including GitHub, GitLab, Bitbucket, and Azure DevOps, as well as business context tools like Jira, Notion, and Linear, enabling the conversion of suggestions into tracked issues and support for technical debt monitoring. The tool offers a freemium pricing model with a free open-source Community plan, paid Team plans starting at approximately $10 per developer per month (BYOK) or $30 per developer per month (managed mode), a 14-day free trial, and a self-hosted open-source option where users bring their own API keys and pay model providers directly. Kodus combines a hybrid AST + LLM approach with real-time processing, ensuring source code is not stored while supporting broad language coverage (30+ languages), unlimited pull requests (subject to Git provider APIs), and flexible deployment options in the cloud or self-hosted environments.

Key features

  • Context-aware PR analysis with broader codebase awareness
  • Custom review rules in natural language and rules library
  • Model-agnostic BYOK support for major LLM providers
  • Git provider integrations (GitHub, GitLab, Bitbucket, Azure DevOps)
  • Business context connections (Jira, Notion, Linear)
  • Hybrid AST + LLM approach with real-time processing
  • 30+ language support and unlimited PRs (subject to Git provider APIs)
  • Flexible cloud or self-hosted deployment options
  • No storage of source code during processing
  • Technical debt monitoring and tracked issue creation

Use cases

  • Automating code reviews in pull requests for engineering teams
  • Enforcing coding standards and security policies across repositories
  • Converting AI-generated suggestions into tracked issues in project management tools

Pros

  • Open-source core with AGPL licensing for self-hosting and transparency
  • Model-agnostic approach allowing use of any LLM provider with user's own API keys
  • Deep integration with business context tools like Jira, Linear, and Notion for rule validation
  • Hybrid AST + LLM architecture for accurate, context-aware code reviews
  • Supports broad language coverage (30+ languages) and real-time processing without storing source code

Cons

  • May introduce noise in reviews if custom rules are not carefully configured
  • Requires technical setup for self-hosted deployments (Docker Compose or Helm)
  • Not suitable for teams seeking automated poetic or creative feedback in PRs

Frequently asked questions about Kodus

What is Kodus and what does it do?

Kodus is an open-source AI-powered code review platform that provides automated, context-aware feedback directly within pull requests across Git-based workflows. It evaluates code diffs while considering the broader codebase, architecture, workflows, coding standards, and business rules to deliver targeted feedback on quality, security, performance, and style.

Who is Kodus designed for?

Kodus is designed for engineering teams seeking to automate and standardize code reviews while maintaining control over their review standards and workflows. It suits teams of all sizes, from small startups to large enterprises, particularly those using Git-based workflows.

How does Kodus integrate with existing tools and workflows?

Kodus integrates with Git providers such as GitHub, GitLab, Bitbucket, and Azure DevOps, as well as business context tools like Jira, Notion, and Linear. It supports custom review rules written in natural language and can sync existing rule files from tools like Cursor, Copilot, and Claude.

Does Kodus store source code?

No, Kodus does not store source code. It processes code diffs in real-time and ensures source code remains within the user's infrastructure or Git provider.

What deployment options are available for Kodus?

Kodus offers flexible deployment options, including a cloud-based solution and a self-hosted open-source option. Users can deploy it using Docker Compose or Helm, with no seat minimums required.

How does Kodus handle pricing for AI model usage?

Kodus operates in a model-agnostic manner, allowing teams to use their own API keys with providers like OpenAI, Claude, or Gemini. Users pay the model provider at list price, with zero markup added by Kodus.

Kodus traffic & engagement

kodus.io · third-party estimates from Similarweb

Data as of Sep 2026Full AI website ranking →
Monthly visits · Sep 202637K+6.4% MoM12-month high 37K (Sep 2026)
Rank among AI websites#2,959▲ 75 vs last monthof 8,652 tools on aitoolnavio™
Rank in Coding & Development#438of 1,107 tools in this category
Top marketBrazil18.8%Top 5 countries bring 55% of visits
Average visit16sTime on site per visit
Pages per visit1.72Average pages viewed
Bounce rate39%Lower than 51% of AI sites
Similarweb global rank#862,662#246,110 in Brazil

Traffic trend

Last 4 months · grows by one month every month

  • Jun 202619K
  • Jul 202630K+59.7%
  • Aug 202635K+15.8%
  • Sep 202637K+6.4%

Top countries

Share of visits · estimated visits

  • Brazil7K18.8%
  • Portugal6K16.1%
  • United States3.4K9.2%
  • India2.4K6.4%
  • Vietnam1.8K4.7%

Other countries: 44.8%

Traffic figures are third-party estimates, good for scale and trends; they can differ from a company's own numbers. Updated monthly.

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