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Kodus

Kodus

Open-source AI Code Review that won’t let you break prod

Website kodus.io
Overview

What it is

Kody is an open-source agent with deep knowledge of your architecture, business rules, and compliance standards. It aligns with your org policies, adapts to your stack, enforces team rules, and runs on any model you choose.

Intent

I need it when

Reduce code review time while maintaining quality and consistency across pull requests

Kodus automates AI-powered code reviews that learn team workflows and coding standards. Customers report 30% reduction in review time and average review time dropping from hours to minutes. The tool provides inline comments on quality, security, and performance, allowing human reviewers to focus on complex logic rather than routine checks.

Enforce custom coding standards and team-specific review rules without vendor lock-in

Kodus lets teams define custom review guidelines in plain language or use built-in rules. It auto-detects and syncs existing rule files from tools like Cursor, Copilot, and Claude. Model-agnostic architecture means teams choose their LLM provider (OpenAI, Anthropic, Gemini, Llama) and avoid vendor lock-in.

Control AI code review costs by paying only for actual LLM token usage without platform markup

Kodus charges zero markup on LLM API calls. Teams pay the platform subscription ($10/dev/month for Teams plan) and LLM provider directly at listed rates. Pricing calculator shows estimated monthly costs based on team size, PR volume, and model choice (ranging $45–$570/month for 30 developers depending on model).

Maintain code privacy and security compliance without storing source code on vendor servers

Kodus processes code in real-time without storing repositories. Source code is never used to train models. Enterprise plan offers SOC 2 compliance, self-hosted runners, and RBAC with audit logs. All data encrypted in transit and at rest.

Monitor and reduce technical debt while tracking engineering productivity metrics

Kodus includes a Technical Debt Cockpit that automatically converts unimplemented suggestions into trackable issues. Engineering Metrics dashboard monitors deploy frequency, cycle time, bug ratio, and PR sizes, helping teams visualize debt and maintain shipping velocity.

Drop

Not a fit when

  • Team requires vendor-managed AI model selection without flexibility; Kodus is model-agnostic and requires BYOK (bring your own API keys) for most plans
  • Organization needs all-inclusive pricing without separate LLM token costs; Kodus charges platform fee plus direct LLM provider costs
  • Team wants AI code review without self-hosting option; Community plan requires self-hosting or Kodus hosting, adding operational complexity
  • Project has fewer than 5 developers and cannot justify $10/month per-developer Teams plan cost; Community free tier has 10-rule limit
  • Organization requires vendor-trained AI models on proprietary code; Kodus explicitly does not train models on customer data
Commercials

Pricing

USD0 / monthly View pricing