[AI CODE QUALITY]
Catch complexity, dead code, and duplication before they slow your teams down
Trusted by Startups to Fortune 100
[FEATURES]
Review & Gate
Quality & Reporting
[Why codeant]
Legacy Tools Weren't Built
for Today's Agentic Code
With Legacy Tools
Noisy false positives
Rule-based, static results
Manual triage
Limited visibility
Separate dashboards
Gates that stop at "clean"
CodeAnt AI
<1% false positives, self-learning
Context-aware AI for your codebase
Auto-prioritized, 1-click fixes
Quality, security & DORA in one view
Inline PR comments and IDE feedback
Gates that also run the exploit path
[CUSTOMER STORIES]
Why Engineering Teams
Move to CodeAnt
[DEFENSIVE]
Instead of adding another UI to check, CodeAnt integrates with the tools you already use.
SOC 2 Type II
Gartner Cool Vendor 2026
HIPAA Compliant
[FAQ]
Frequently Asked
Questions
How is AI code quality analysis different from traditional static analysis tools?
What is code complexity, dead code, and duplicate code, and why do they hurt engineering teams?
What are Quality Gates and how do they help engineering teams ship cleaner code consistently?
How do DORA Metrics and PDF reports help engineering managers measure and communicate code quality?
How does CodeAnt AI use AI Learnings and automated docstrings to improve code maintainability over time?
[GET STARTED]
Stop waiting on slow quality checks.
Start shipping.
