Hello HN readers!

Our team has built an AI/LLM-driven code review tool that significantly helps improve dev velocity and code quality. Its unique features are:

- Line-by-line code change suggestions: Reviews the changes line by line and provides code change suggestions that can be directly committed from the GitHub UI.

- Continuous, incremental reviews: Reviews are performed on each commit within a pull request rather than a one-time review on the entire pull request.

- Cost-effective and reduced noise: Incremental reviews reduce noise by tracking changed files between commits and the base of the pull request.

- Chat with the bot: Supports conversation with the bot in the context of lines of code or entire files, helpful in providing context, generating test cases, and reducing code complexity.

- Smart review skipping: By default, skips in-depth review for simple changes (e.g., typo fixes) and when changes look good for the most part.

We would love the HN community to try it out in their GitHub repos and provide feedback!

We will happily answer any technical questions regarding the sophisticated prompt engineering we did for this project.