I'm one of the creators of CodeProt. We built this because we were frustrated with existing AI code review tools. They usually suffer from two extremes: either they miss obvious bugs, or more commonly, they spam PRs with hallucinated 'improvements' and stylistic nitpicks that waste time.
We designed CodeProt to be *low-noise by design*.
*How it works:*
Instead of just feeding a diff to an LLM, we use a multi-agent architecture that analyzes the full repository context.
* *Context-Aware:* It understands the surrounding code, not just the changed lines, to prevent suggestions that break existing patterns.
* *Noise Suppression:* We implemented a verification layer that filters out low-confidence suggestions. We aim for high precision (currently ~94%) rather than high recall of trivial issues.
* *Incremental Review:* It tracks changes across commits in a PR, so it doesn't re-review code you haven't touched.
*Privacy & Security:*
We know sending code to the cloud is a sensitive topic. CodeProt is built with a zero-trust architecture. We use end-to-end encryption and have strict data retention policies. We don't train our models on your code.
*Features:*
* Automated PR descriptions (to save you typing).
* One-click apply for suggestions.
* Integrates directly with GitHub and GitLab.
We'd love to hear your feedback. What makes an AI reviewer actually useful to you vs. just another bot to mute?
allenz_cheung•2mo ago
I'm one of the creators of CodeProt. We built this because we were frustrated with existing AI code review tools. They usually suffer from two extremes: either they miss obvious bugs, or more commonly, they spam PRs with hallucinated 'improvements' and stylistic nitpicks that waste time.
We designed CodeProt to be *low-noise by design*.
*How it works:* Instead of just feeding a diff to an LLM, we use a multi-agent architecture that analyzes the full repository context. * *Context-Aware:* It understands the surrounding code, not just the changed lines, to prevent suggestions that break existing patterns. * *Noise Suppression:* We implemented a verification layer that filters out low-confidence suggestions. We aim for high precision (currently ~94%) rather than high recall of trivial issues. * *Incremental Review:* It tracks changes across commits in a PR, so it doesn't re-review code you haven't touched.
*Privacy & Security:* We know sending code to the cloud is a sensitive topic. CodeProt is built with a zero-trust architecture. We use end-to-end encryption and have strict data retention policies. We don't train our models on your code.
*Features:* * Automated PR descriptions (to save you typing). * One-click apply for suggestions. * Integrates directly with GitHub and GitLab.
We'd love to hear your feedback. What makes an AI reviewer actually useful to you vs. just another bot to mute?
Check it out at: https://codeprot.com/