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Manual code reviews create bottlenecks. Reviewers context-switch, PRs queue up, and feedback quality varies. AI-powered code review runs instantly on every PR, catching issues before a human reviewer even looks at the code.

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How Kodus automates code review

Once connected, Kodus automatically reviews every pull request. It analyzes code for security vulnerabilities, performance issues, error handling, maintainability, and your custom rules — then posts comments directly in the PR.

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Supported platforms

  • GitHub — via GitHub App (or a personal access token)
  • GitLab — via OAuth (or a personal access token)
  • Bitbucket — via API token
  • Azure DevOps (Azure Repos) — via personal access token
  • Forgejo — via personal access token

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What gets analyzed

By default, Kodus checks the categories you can switch on or off in Code review → What to review, plus your own rules:
  • Security issues (SQL injection, XSS, hardcoded secrets)
  • Performance problems (N+1 queries, missing indexes)
  • Potential bugs (null pointers, resource leaks, error handling gaps)
  • Business logic compliance (validates against linked task requirements)
  • Your custom Kody Rules (use them for code style and team conventions)

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Review cadence options

Set the cadence in Code review → General under Enable Automated Code Review → Review Cadence.

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Getting started

  1. Create a workspace at kodus.io or self-host Kodus
  2. Connect your Git provider (GitHub, GitLab, Bitbucket, Azure DevOps, or Forgejo)
  3. Select which repositories to monitor
  4. Open a PR — Kodus reviews it automatically
For platform-specific setup, see: