CodeReviewBotCode Reviews AI Tool
AI-powered GitHub PR reviewer that catches bugs and vulnerabilities to boost code quality and developer productivity.
AI-powered GitHub PR reviewer that catches bugs and vulnerabilities to boost code quality and developer productivity.
Pricing & Model
freemium
Free tier for open-source projects with 40 reviews, paid plans start at $15/month for Starter (40 reviews), up to $75/month for Pro (500 reviews), with custom Enterprise pricing available.
Open Source & API
Proprietary
No Public API
Foundational Model
Proprietary Engine
Key Integrations
Web App Only
CodeReviewBot is most relevant for buyers who already know the problem they need to solve and want to compare one focused code reviews product against nearby alternatives instead of reading a generic directory card. It sits in a comparison set that also includes Coderabbit, Fliki, Lovablev2.2.
On this page, the goal is to keep the evaluation practical: understand what CodeReviewBot does well, where the free tier for open-source projects with 40 reviews, paid plans start at $15/month for starter (40 reviews), up to $75/month for pro (500 reviews), with custom enterprise pricing available. pricing model makes sense, and which adjacent tools are worth opening in parallel before making a shortlist.
Teams exploring code reviews can use CodeReviewBot for github pr analysis.
Teams exploring code reviews can use CodeReviewBot for bug detection in code.

It's an AI tool that automates GitHub pull request reviews, scanning for bugs, vulnerabilities, and inefficiencies while providing detailed feedback to improve code quality.
Yes, it handles both public and private repos securely, with private code never used for model training.
Free for open-source with 40 reviews, Starter at $15/month for 40 reviews, Pro at $75/month for 500, and custom Enterprise plans.
Absolutely, a 30-day trial or until 40 reviews are used, perfect for testing on your projects.
Yes, you can adjust rules to fit your repository's standards and workflow needs.
It works with multiple programming languages, using advanced LLMs for broad compatibility.
Private submissions are reviewed but not stored or used for training, prioritizing user security.
Real ratings and feedback from the community
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