What is CodeAnt AI?
Automatically detect and fix code quality issues, bugs, and security vulnerabilities in real-time with every code commit. Add custom rules in simple English to enforce your company’s best practices. Trusted by small teams to unicorns like TATA 1mg, Cipla.
Problem
Developers face challenges in detecting and fixing code quality issues, bugs, and security vulnerabilities in real-time with every code commit.
Drawbacks of the old situation: Manual code review processes are time-consuming, prone to human error, and may miss critical issues.
Solution
Web-based tool
Automatically detects and fixes code quality issues, bugs, and security vulnerabilities in real-time with every code commit. Users can add custom rules in simple English to enforce best practices.
Core features: Real-time detection and fixing of code quality issues, bugs, and security vulnerabilities, customizable rules set up.
Customers
Developers and engineering teams in small businesses to large enterprises.
Specific position: Software developers, lead engineers, CTOs.
Unique Features
Real-time code quality issue detection and fixing
Customizable rule setting in simple English
User Comments
Easy to use and efficient tool for enhancing code quality and security
Saves time and effort in manual code reviews
Great for enforcing best practices and improving coding standards
Trusted by a diverse range of companies from small teams to large enterprises
Highly recommended for teams focused on code quality and security
Traction
Trusted by companies like TATA 1mg and Cipla
Wide adoption from small teams to unicorns
Positive user feedback and recommendations
Market Size
Global market size for static application security testing: $7.58 billion in 2020
Growing demand for code quality and security solutions in software development industry
