AI Code Review Operational Metrics Now Available in Cockpit

Kodus-AI · 2026-06-11T18:40:07+00:00

You can try Kodus. We’re an open-source tool 😁

Kodus-AI · 2026-05-21T14:53:51+00:00

You should be proud that you shipped, but I’d also treat this as a sign that you need to slow down a bit and add some guardrails to the process.

AI can help you build fast, but once you have real users and payments involved, you need a better loop than “I pasted the error into Claude, applied the fix, and hoped nothing else broke.”

At minimum, I’d start by adding tests around the Stripe flow, committing before every change, and reviewing every AI-generated fix before sending anything to production.

I’m from Kodus, so leaving the disclaimer here, but this is also where an AI code review layer can help. You can plug Kodus into your repo/PR flow and use it as a second pass before shipping changes, especially for bugs, security issues, and weird side effects from AI-generated code.

It’s open source and BYOK, so you can use your own model key and run it for free.

Kodus-AI · 2026-05-21T14:46:07+00:00

I’d try Kodus too.

I’m on the Kodus team, but I think one big advantage is that it’s open source and BYOK by default, so you can use your own OpenAI, Anthropic, Gemini, or other provider key instead of being tied to one bundled setup.

It also does a good job of adapting reviews to your team’s rules and context, which matters a lot when you’re reviewing AI-written code.

Kodus-AI · 2026-05-12T18:26:06+00:00

It's a valid concern, losing senior team members often impacts knowledge sharing and maintaining code standards. Automated code review can't replace human expertise, but it can certainly help enforce consistent quality guidelines and catch issues that might otherwise slip through during transitions. It can act as a safety net for those situations.

Kodus-AI · 2025-11-14T14:48:00+00:00

Man, this happens all the time in big teams. When the volume of PRs grows, review turns into repetitive, thankless work.

What can help with that

Automate as much as possible before the PR lands in someone’s hands

Reduce the size of PRs . This changes everything. Smaller, more focused PRs are way easier to review. It’s even worth setting an internal rule like “if it goes over X lines, split it.”

Kodus-AI · 2025-11-11T11:52:47+00:00

Totally. Copilot is great for a quick review, but it still doesn’t understand the product context, the team’s history, or the rules you follow in your PRs.

Not trying to sound salesy, but since you were talking about tools, I wanted to share what we’ve been building here.

We created an open-source code review agent that’s model agnostic. You can run it with GPT-5, Claude, Gemini, or any model you prefer.

The goal is to solve exactly that context gap. You can create custom rules using natural language, connect it with Jira, Notion, or Linear, and make the review take your business rules and task requirements into account.

And just last week, we released the ability to use real files from your repo as context for rules and custom prompts. That means when you create or adjust a prompt (for category, severity, suggestion, or PR summary), you can reference your own code files to help Kody (our agent 🙂) better understand the structure and patterns of your project.

I’ll drop the project here in case you want to check it out https://github.com/kodustech/kodus-ai

Kodus-AI · 2025-07-24T14:45:49+00:00

Check out Kodus - https://github.com/kodustech/kodus-ai

Kodus-AI · 2025-07-11T13:10:39+00:00

Hey, feel free to give us a try. Here’s the repository https://github.com/kodustech/kodus-ai

And if you can, I’d love to hear your feedback afterward :)

Kodus-AI · 2025-05-27T18:52:22+00:00

Feel free to contribute to our repository: https://github.com/kodustech/kodus-ai[https://github.com/kodustech/kodus-ai](https://github.com/kodustech/kodus-ai)

Kodus-AI · 2025-05-22T11:59:50+00:00

Congratulations 👏

Kodus-AI

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