How CodeAnt’s Code Health Platform Powers Commvault’s 800+ Developers

17,000+

Merge requests reviewed

3.5 Days to 1 Min

Time to first commit

25% of MRs

AI only Reviews

About Commvault

Commvault (NASDAQ: CVLT) is the global gold standard in cyber resilience and data protection, empowering more than 100,000 organizations to keep their data secure and operations resilient against modern cyber threats.

Problem

With a global engineering team of over 800 developers distributed across continents, Commvault faced a growing challenge: maintaining code health at scale in the AI era.

Developers were writing and merging code faster than ever, but review capacity hadn’t scaled in parallel. Ensuring every line of code was secure, reliable, and performance-optimized had become increasingly complex.

Rule-based static analysis tools no longer met the depth and intelligence standards Commvault demanded. They needed a platform capable of understanding context, intent, and best practices within their complex codebase.

Commvault looked for an AI-native system that could:

Provide instant, contextual insights into new code changes across millions of lines of code.
Deliver one-click AI-powered fixes for both quality and security issues.
Continuously analyze, learn, and improve with every commit, while upholding strict data privacy and compliance standards.

The mission was clear: maintain uncompromising standards of code security, quality, and developer velocity, all while protecting enterprise data privacy.

Solution: CodeAnt AI – Code Health Platform for the AI Era

Commvault partnered with CodeAnt AI, an enterprise-grade AI Code Health Platform built to maintain world-class software standards in modern, large-scale engineering environments.

CodeAnt AI seamlessly integrated into Commvault’s existing workflows, spanning IDEs, pull requests, and CI/CD pipelines, to automate code reviews, detect vulnerabilities, and ensure organization-wide best practice is always followed.

How CodeAnt AI Integrated Commvault’s Workflow

In the IDE: Developers received real-time AI suggestions and 1-click fixes for bugs, vulnerabilities, and code smells, helping them resolve issues before code ever reached review.
At the Pull Request stage: CodeAnt AI learned from past reviews to automatically apply Commvault’s internal best practices, providing contextual feedback and one-click remediations for both quality and security issues.
In CI/CD pipelines: Builds were automatically blocked on quality or security violations, with audit-ready reports generated for every release.
Through centralized dashboards: Engineering leaders gained real-time visibility into code health, security posture, and review velocity across all repositories.

By automating every stage of the review process, CodeAnt AI enabled Commvault’s engineering organization to move faster, stay secure, and scale reviews efficiently, improving both developer experience and overall code health.

Key Results

Enterprise Readiness

What truly set this collaboration apart was Commvault's uncompromising approach to security. They required the entire AI platform to operate within an air-gapped, on-premises environment.

CodeAnt AI deployed its full stack entirely inside Commvault's isolated infrastructure, achieving true air-gap compliance. This ensured absolute data sovereignty, and maintained complete governance and control.

The result: a self-contained AI code health platform with enterprise-grade resilience.

Business Outcomes

Faster Releases: Review cycles reduced from days to minutes.
Engineering Efficiency: 98% reduction in time to first review, freeing developer hours for high-impact work.
Improved Code Quality: Complete visibility into code health and quality across the entire codebase.
Stronger Security Posture: Early detection and resolution of high-severity vulnerabilities.
Simplified Compliance: On-prem audit logs and dashboards provided complete internal traceability.