CodeAnt AI home page
Search...
⌘K
Support
Dashboard
Dashboard
Search...
Navigation
Code Quality
Reporting
Join Community
Start Here
What is CodeAnt?
Setup
Github
Bitbucket
Gitlab
Azure Devops
Pull Request Review
Features
Customize Review
Quality Gates
Integrations
Scan center
Code Security
Code Quality
Docstring Generation
Dead code
Duplicate code
Complex Functions
Antipatterns/Bugs
Reporting
Cloud Security
Engineering Productivity
Integrations
Jira
Test Coverage
CI/CD
IDE
Setup
Review
Enhancements
Rule Reference
Compliance
Anti-Patterns
Code Governance
Infrastructure Security Database
Application Security Database
Resources
Open Source
Blogs
On this page
Overview
How It Works
Summary Report
Full Report
Demo
Code Quality
Reporting
Comprehensive reporting for any repository
Overview
CodeAnt AI provides detailed reports for your repositories, highlighting critical antipatterns and vulnerabilities. These comprehensive reports offer valuable insights into the health and security of your codebase.
How It Works
Select Repository:
Choose the repository you want to analyze.
Download Report:
Click to download summary report or full report
Summary Report
Issue Overview and Counts:
The summary report provides an overview of all detected issues along with their respective counts.
Executive-Level Insights:
This report assists executives in quickly identifying any high-severity issues that may require immediate attention.
Included Content:
It covers antipatterns, SAST (Static Application Security Testing) issues, and IaC (Infrastructure as Code) issues.
Full Report
Detailed Issue Information:
This comprehensive report includes detailed information about each individual issue detected.
Developer Collaboration Enhancement:
It facilitates better collaboration among developers by allowing them to share detailed reports.
Included Content:
The report encompasses SAST issues, IaC issues, and antipatterns.
Demo
For a detailed use case and step-by-step guide on how to utilize the reporting feature, check out the below demo.
Antipatterns/Bugs
AWS
Assistant
Responses are generated using AI and may contain mistakes.