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 community.

We'd love your feedback, suggestions, or criticisms—especially if you've experienced frustration with purely GPT-based review tools.