AI Code Review Dashboard

Track velocity, cycle time, and developer productivity across repos and teams. With CodeAnt AI, showing what’s getting merged, what’s not, and why to measure ROI with clarity.

CodeAnt scans every PR for security risks — injection, config, or API — and suggests fixes using real-time SAST.

Trusted by Startups to Fortune 500

Spot bottlenecks & monitor code quality trends

Pull Request dashboard showing repository counts, PR activity metrics, lines reviewed per day chart, and AI code suggestion distribution by type.

Track team activity at a glance

See PRs reviewed, comments made, questions answered, & repositories added.

Understand review quality and patterns

View lines reviewed per day and AI suggestion breakdowns by issue type.

Why Best Teams Love CodeAnt AI

Enterprise-grade security

HIPAA Compliant - CodeAnt AI
SOC2 Type II Compliant - CodeAnt AI

No code storage

Zero data retention

1M+ PRs/month

Handles effortlessly

1 Billion+

Lines of Code Scanned

Git Integrations
Bitbucket Integration - CodeAnt AI
Gitlab Integration - CodeAnt AI
Azure Devops Integration - CodeAnt AI
Github Integration - CodeAnt AI

Enterprise-grade security

HIPAA Compliant - CodeAnt AI
SOC2 Type II Compliant - CodeAnt AI

No code storage

Zero data retention

1M+ PRs/month

Handles effortlessly

1 Billion+

Lines of Code Scanned

Git Integrations
Bitbucket Integration - CodeAnt AI
Gitlab Integration - CodeAnt AI
Azure Devops Integration - CodeAnt AI
Github Integration - CodeAnt AI

Enterprise-grade security

HIPAA Compliant - CodeAnt AI
SOC2 Type II Compliant - CodeAnt AI

No code storage

Zero data retention

1M+ PRs/month

Handles effortlessly

1 Billion+

Lines of Code Scanned

Git Integrations
Bitbucket Integration - CodeAnt AI
Gitlab Integration - CodeAnt AI
Azure Devops Integration - CodeAnt AI
Github Integration - CodeAnt AI

Turn Pull Request Reviews Into Insights

Turn Pull Request Reviews Into Insights

Turn Pull Request Reviews Into Insights

FAQs

How is this dashboard different from GitHub/GitLab’s built-in analytics?

Can the dashboard help identify overloaded developers or review imbalances?

How do these insights improve leadership reporting?

Can we customize which metrics are tracked and displayed?

How does this help us measure ROI on adopting AI reviews?