Case Study: Draup achieves faster code documentation and cleanup with CodeAnt AI

How Draup documented 10,000 function lines of code in just one week

Draup, an AI-driven sales intelligence platform, faced the challenge of manually documenting and refactoring its massive 1.5 million-line codebase. This effort was projected to take months of development time, stalling new feature delivery and leaving potential vulnerabilities unaddressed. To solve this, they turned to the CodeAnt AI platform.

CodeAnt AI implemented its enterprise code review, security, and quality services to automate the cleanup. The solution scanned the entire codebase, auto-generating over 10,000 docstrings and fixing more than 1,200 issues in just one week. This transformed a projected three-month manual effort into a rapid, automated process, significantly boosting code maintainability and security without Draup's data ever leaving its own AWS environment.

Draup

Kashish Jajodia

Chief Technology Officer