kodus-ai

Hey, I’m part of the Kodus team. We built an open source code review agent. It’d be awesome if you gave it a try. Here’s the repo (https://github.com/kodustech/kodus-ai)

Hey everyone, Just wanted to share a quick update we just launched at Kodus. For those who don’t know it yet, Kodus is a code review agent that runs directly in your team’s Git workflow (GitHub, GitLab, Bitbucket… and now Azure DevOps as well). It helps maintain code quality and consistency by analyzing each PR based on your team’s own rules and repository standards. Support for Azure had been a common request — so if your team uses it, you can now plug Kodus right into your workflow and give it a try. Docs: https://docs.kodus.io/how_to_use/en/overview Repo: https://github.com/kodustech/kodus-ai We’re constantly improving the tool, so any feedback, suggestions, or criticism would be super helpful!

I’m part of the team at Kodus and it’s been 4 days since we open sourced Kody, our AI that helps with code reviews Here’s the repo if you want to check it out https://github.com/kodustech/kodus-ai Feedback is more than welcome

Hey HN, LLMs alone aren't great at reviewing code—they produce noisy, irrelevant, or even incorrect comments far too often. We open-sourced Kodus, our AI-powered code review platform built specifically to address this problem. Instead of relying purely on GPT models, we use a deterministic, AST-based rule engine to provide precise, structured context directly to the LLM. The result is a dramatically reduced noise rate, fewer hallucinations, and comments you can actually trust (and merge). A quick rundown: - Hybrid approach (AST + GPT): Precise, deterministic context feeding into the LLM reduces false positives and irrelevant suggestions. - Self-hostable & Open Source: Run on your own infra/cloud—no code leakage, no data privacy concerns. - Customizable rule engine: Easily define and share context-specific review rules across your team and