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Kodus

Automate code reviews with AI tailored to your team's workflow

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Kodus

Target Audience

  • Software development teams
  • Tech leads
  • DevOps engineers

Overview

Kodus uses AI to review code like a senior developer would, but scaled for your entire team. It learns your specific coding standards and workflow to deliver focused feedback on quality, security, and performance directly in pull requests. Teams report 40% faster reviews and 50% fewer production bugs while maintaining complete code privacy.

Key Features

1

Tailored Feedback

Learns your team's coding standards and architecture

2

30+ Languages

Supports Python, Go, and other major languages

3

Git Integration

Delivers feedback directly in pull requests

4

Custom Guidelines

Enforce team standards with natural language rules

5

Code Privacy

Zero code storage or model training

Use Cases

🔍

Automated pull request reviews

🛠️

Enforcing team coding standards

🐛

Reducing production bugs

📈

Tracking team performance metrics

Pros & Cons

Pros

  • Reduces code review time by 40% (per customer report)
  • Maintains complete code privacy and security
  • Adapts to team-specific workflows
  • Supports major languages across full tech stack

Cons

  • Requires Git-based workflow
  • Limited to 30+ languages (may exclude niche languages)

Frequently Asked Questions

How does Kodus ensure code privacy?

Your code is never stored or used to train AI models, with end-to-end encryption for all data.

What languages does Kodus support?

Supports 30+ languages including Python, Go, and other major programming languages.

Can we customize review guidelines?

Yes, define team-specific rules using natural language instructions.

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