LLMs alone aren't great at reviewing code\u2014they 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\u2014no 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\u2014especially if you've experienced frustration with purely GPT-based review tools.","title":"Show HN: Kodus \u2013 An open source AI code review engine (AST and LLW, less noise)","type":"story","url":"https://github.com/kodustech/kodus-ai"}