How Draup documented 10,000 function lines of code in just one week
Problem
Documenting and refactoring Draup’s massive 1.5 million-line codebase manually would have taken months, stalling development and delaying new feature delivery.
Solution
CodeAnt AI auto-generated 10,000 docstrings and fixed 1,200 issues in just one week, cleaning the entire codebase at scale while continuously reviewing new commits.
Founded
2017
Valuation
$20 Million
Industry
SaaS
Code Hosting
GitHub
About Draup
Draup is the go-to AI-driven Sales Intelligence platform for Fortune 500 enterprises. Trusted by clients like Microsoft, Shopify, Pepsico, Nokia, and T-Mobile, Draup analyzes 1B+ data points daily from over 50,000 sources, delivering insights that help HR and Sales Leaders make smarter decisions.
How CodeAnt AI Transformed Draup
Draup turned months of manual cleanup into days of automated fixes and documentation — setting a new baseline for speed, quality, and maintainability.
The Challenge Before AI
Ahead of a dedicated code cleanup sprint, Draup’s engineering leaders needed a solution to:
Generate standardized documentation across thousands of functions.
Detect and fix anti-patterns in resource usage, latency, and readability.
Refactor duplicate and dead code automatically.
Simplify complex functions to boost maintainability.
Enforce clean coding practices across IDEs, CI pipelines, and PR checkers.
Manual effort would have consumed months, slowing development and leaving vulnerabilities unaddressed.
The AI Breakthrough
By adopting CodeAnt AI across IDE extensions, dashboards, and PR reviewers, Draup automated large-scale cleanup while continuously securing new code:
1.5 Millions of lines scanned with actionable insights.
10,000+ docstrings generated for standardized documentation.
1,000+ issues auto-fixed — resource usage, latency, readability.
3,000+ complex functions simplified for maintainability.
Security vulnerabilities flagged before production.
Deployed on AWS infra — no code or data left Draup’s environment.
Measurable Outcomes
Months to one week — complete codebase cleanup achieved in record time.
10,000 functions documented automatically with context-driven docstrings.
1,200+ anti-patterns auto-fixed and 3,000+ functions simplified for better maintainability.
One Platform for Complete Code Health
With CodeAnt AI, Draup achieved in a week what would normally take months of manual effort. The platform not only cleaned and documented the legacy codebase but also enforced quality, strengthened security, and scaled clean coding practices across every stage of development.
