[edvaldodfreitas]

I'm part of the team at Kodus, and we're building a code review agent called Kody.

It runs directly on GitHub PRs and automatically comments with suggestions based on your team’s own patterns. Kody learns from what you usually accept or reject in reviews, so the feedback gets more aligned with your style over time.

You can also create custom rules to enforce the practices your team already follows, without relying on traditional linting or static analysis.

And if you want to go further, you can bring in external data through MCP — for example, pulling context from tools like Jira, Notion, or Playwright to make the suggestions even more relevant.

The goal is to speed up reviews without losing quality. If you want to give it a try: (https://kodus.io)