CodeAnt AI - Customer Story

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Customer Success Story - Draup, Inc.

Jan 24, 2024

About Draup, Inc.

Draup is the go-to AI-driven Sales Intelligence solution for Fortune 500 enterprises, boasting a client list that includes Microsoft, Shopify, Pepsico, Nokia, T-Mobile, and more. Every day, they analyze a whopping 1 Billion data points from over 50,000 sources, providing invaluable insights for HR and Sales Leaders.

Challenge

Draup recognized the need to enhance their coding practices and decided to kickstart this by cleaning up their entire codebase. The CTO of Draup, Kashish was on the lookout for a tool that could efficiently clean their entire Python codebase, especially with an upcoming week dedicated to company-wide code cleaning in mid-December.

They had specific requirements:

Generate standardized and context-driven code documentation

Detect and auto-fix anti-patterns related to resource usage, latency, and readability
Detect and suggest refactoring for dead and duplicate code
Find complex functions and suggest auto-refactoring

Draup sought a comprehensive tool to enforce clean coding practices throughout the entire development process, starting from the shift-left principle and extending to developers' IDEs, Continuous Integration, and Pull Request checkers.

Ensuring adherence to best practices at these three crucial touchpoints minimizes time spent on triaging and fixing bugs.

Generate standardized and context-driven code documentation

Detect and auto-fix anti-patterns related to resource usage, latency, and readability
Detect and suggest refactoring for dead and duplicate code
Find complex functions and suggest auto-refactoring

Ensuring adherence to best practices at these three crucial touchpoints minimizes time spent on triaging and fixing bugs.

Solution

Upon connecting with CodeAnt AI, Kashish, the CTO of Draup, discovered that our offerings perfectly aligned with their requirements. Leveraging all three of our integrations:

VS Code & PyCharm Extensions: Facilitated clean coding practices directly in developers' IDEs
CodeAnt AI Dashboard: Empowered bulk fixing of up to 200 files efficiently
PR Reviewer : Enabled auto-fixing on every change in Pull Requests

Upon connecting with CodeAnt AI, Kashish, the CTO of Draup, discovered that our offerings perfectly aligned with their requirements. Leveraging all three of our integrations:

VS Code & PyCharm Extensions: Facilitated clean coding practices directly in developers' IDEs
CodeAnt AI Dashboard: Empowered bulk fixing of up to 200 files efficiently
PR Reviewer : Enabled auto-fixing on every change in Pull Requests

Results

CodeAnt AI deployed its AI model and rule-based engines in Draup's AWS infrastructure, thus ensuring that no data will ever leave their infrastructure, and here are the results for the same.

Scanned over 1.5 Million lines of code
Generated more than 10,000 standardized, context-driven code docstrings
Detected and Auto-Fixed 1,200 antipatterns related to resource usage, latency, and readability issues
Fixed 3,000+ complex functions, streamlining the codebase for better maintainability
Detected security vulnerabilities, providing an ability to address potential threats promptly

CodeAnt AI's integrations not only enhanced Draup's coding practices but also significantly contributed to the overall quality, security, and efficiency of their software development process.

CodeAnt AI deployed its AI model and rule-based engines in Draup's AWS infrastructure, thus ensuring that no data will ever leave their infrastructure, and here are the results for the same.

Scanned over 1.5 Million lines of code
Generated more than 10,000 standardized, context-driven code docstrings
Detected and Auto-Fixed 1,200 antipatterns related to resource usage, latency, and readability issues
Fixed 3,000+ complex functions, streamlining the codebase for better maintainability
Detected security vulnerabilities, providing an ability to address potential threats promptly

CodeAnt AI's integrations not only enhanced Draup's coding practices but also significantly contributed to the overall quality, security, and efficiency of their software development process.