Severity Level

CodeAnt assigns every finding a clear severity level and explicit impact areas, so teams instantly know what to fix first and why it matters.

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

Trusted by Startups to Fortune 500

No Guesswork. Just Risk-Aware Code Reviews

CodeAnt AI's AI chat interface answering questions about a pull request with context from code changes and diffs.

Signal-Based Severity Scoring

Issues are scored using real engineering signals and mapped as critical, major, or minor.

Failure-Aware Context

Every issue clearly explains the type of failure it can cause, not just a raw severity label.

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

Fix what matters. Ignore what doesn’t.

FAQs

How is this different from other AI code review tools?

Can two issues with the same severity be different in importance?

Is severity static or context-aware?

Does this replace human judgment?

Will this work across large monorepos?

Does this reduce review time?