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CodeRabbit Customers | AI Code Reviews

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CodeRabbit Customers | AI Code Reviews
30% time savings across 50 pull requests per day.
In 30 days, with 65%+ acceptance on critical findings.
30% fewer review cycles per pull request.
70% acceptance of potential bugs flagged in review.
CodeRabbit has transformed our development process by providing intelligent, automated code reviews that understand the complexities of robotics software. Our team can now focus on innovation while maintaining the highest standards of code quality and safety.
What impresses me most about CodeRabbit isn't just the time it saves—it's how it elevates the entire code review discussion. As both a CEO and active coder, I see it bridging the gap between high-level engineering metrics and day-to-day code quality. It's quickly become our secret weapon for maintaining engineering excellence while moving fast.
What sets CodeRabbit apart is its deep understanding of code structure through AST analysis. Having built developer tools myself and taken part in the NixOS community, I can appreciate the technical sophistication behind their approach. It's not just pattern matching—it's intelligent code comprehension that integrates seamlessly into our existing workflows.
At Expanso, we're simplifying distributed compute for everyone. Having a code review tool that truly understands complex code structure and edge cases is game-changing. CodeRabbit helps us maintain rigorous quality standards while moving fast—essential when building infrastructure for the distributed future.
CodeRabbit was easy to set up and instantly gave every pull request an AI summary of changes and a line-by-line code review. Our team likes the conversational nature where you can ask the bot questions back and forth and it responds and takes your feedback. Most importantly, it gets people thinking about the comments and triggers them to revisit code and do a deeper review than they would have otherwise.
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