[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
New-code quality gates that stop at "clean"
CodeAnt AI
<1% false positive rate with AI learning loop
Context-aware AI that learns from your codebase
Auto-prioritized fixes & 1-click remediation
Quality, security, team velocity, DORA insights in one place
Inline PR comments and IDE feedback
New-code gates that check quality and 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.
[SECURE & COMPLIANT]
Independently audited, deployable in your own environment, and built so your code never trains a model or leaves your boundary.
SOC 2 Type II
Audited annually for security, availability, and confidentiality. Report under NDA.
Gartner Cool Vendor 2026
Recognized by Gartner in application security for autonomous, verified testing.
HIPAA Compliant
Safeguards and BAAs in place for teams handling protected health information.
[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]
Change needed: Stop waiting on slow quality checks. Start shipping.
