Case Study: Commvault achieves 98% faster review comments with CodeAnt AI

Commvault cuts time to first comment by 98% with CodeAnt AI

Commvault, a global leader in cyber resilience and data protection, faced a challenge where its engineering team's code merge volume scaled beyond the capacity of its human reviewers. Their existing rule-based analysis tools were insufficient for providing the deep, contextual review needed for their complex codebase. To address this without compromising on security, quality, or developer velocity, they turned to the solution from CodeAnt AI.

CodeAnt AI implemented its AI-native code review system entirely within Commvault's air-gapped, on-premises environment. The solution integrated into the developer workflow at every stage, from the IDE to CI/CD, providing instant, contextual feedback and one-click fixes. This resulted in a 98% faster time to first review comment, cutting cycle time from days to minutes. CodeAnt AI reviewed over 17,000 merge requests, autonomously handled 25% of them, and helped resolve 38 high-severity issues.

Commvault