Magnit Global Scales Code Health with CodeAnt AI
PR reviewed/month
AI suggestions accepted
Predictable costs
Problem
Magnit Global’s engineering teams managed continuous releases across multiple enterprise services. But manual reviews created delays and inconsistencies, with review depth varying across developers.
They needed a faster, more reliable review process, without exposing code outside their secure on-premise environment.
Solution
CodeAnt AI embedded directly into GitLab Enterprise DevOps, automating review feedback inside pull requests and enforcing quality and security gates — without any new tools or workflow changes.
Founded
1991
Stage
Private Equity
Industry
HR Tech
Seats Bought
120+ Developers
About Magnit Global
Magnit Global builds workforce management technology used by Fortune 500 enterprises worldwide.
With distributed teams and hundreds of active repositories, the engineering group needed a way to accelerate reviews and enforce consistency, without compromising on compliance or data control.
How CodeAnt AI Transformed Magnit Global
The Challenge
Manual review cycles slowed delivery and created inconsistency across teams.
Magnit needed a way to make reviews faster, more consistent, and fully compliant with their InfoSec requirements.
The AI Breakthrough
Magnit Global deployed CodeAnt AI as a fully self-hosted instance inside a private VM, connected directly to their on-premise GitLab DevOps environment.
The deployment ensured complete data isolation, no source code, diffs, or metadata ever left their infrastructure. All AI inference and analysis ran locally within the VM.
Once deployed:
Developer opens a Pull Request → CodeAnt AI instantly analyzes the code diff.
AI-generated suggestions appear inline in Azure DevOps — no external dashboard.
Issues are resolved before human review, ensuring clean, compliant PRs.
Reviewers focus only on design and business logic, not repetitive cleanup.
This setup delivered:
Instant AI feedback within minutes of PR creation
Consistent, context-aware reviews aligned with Magnit’s internal best practices
Faster merges through reduced review iterations
Minimal reviewer fatigue and reduced load on senior engineers
Zero data exposure — all computations stay within their Azure perimeter
One Platform for Complete Code Health
Magnit Global now runs code reviews, quality enforcement, and security scanning within one unified Code Health Platform — fully contained inside Azure.
Results:
Faster feedback cycles
Consistent code quality across teams
Fewer review iterations and faster merges
Strengthened engineering velocity without any workflow change
