Case Study: Briya governs AI coding agents and ships faster with CodeRabbit

Briya governs AI coding agents with CodeRabbit and accepts 60% of suggestions

Briya, a healthcare AI and clinical research company, faced a challenge governing the output of multiple AI coding agents. The accelerated code generation created a review bottleneck and led to drifting engineering standards across different tools and repositories. They implemented CodeRabbit as an independent review layer to bring governance to this process.

CodeRabbit provided a solution by automating engineering conventions with its Learnings feature and enforcing them across all repositories. The results included a high 60% suggestion acceptance rate and over 1,000 Linear MCP checks to validate code against ticket intent. This allowed Briya to ship faster while preserving human review for critical architectural and compliance decisions.

Briya