Abstract
In this talk, Vinay Perneti, VP Engineering at Augment Code, will interview Anand Sankaran, Senior Principal Software Development Engineer at Workday, about using AI coding assistants in enterprise-scale codebases. Anand will demonstrate how he tackled Workday's complex metadata catalog by teaching the AI to document its own learnings, creating persistent contextual memory that evolved from a documentation task into a natural language business intelligence system. Attendees will learn practical workflows for AI adoption in large codebases, including how what started as a weekend project accidentally became an autonomous agent capable of analyzing HR data and providing succession planning insights. The discussion will address the balance between experimental freedom and the validation requirements necessary for production systems handling sensitive enterprise data.
Speaker
Vinay Perneti
VP Engineering @Augment Code
I enjoy building products that delight users with a focus on simplicity.
I also get a lot of joy from hiring a great team and creating an environment where teams and individuals can thrive and deliver their best work - while having fun!
"A group of people truly committed to a common vision is an awesome force.” - Peter M. Senge
Speaker
Anand Kumar Sankaran
Sr. Principal Software Development Engineer - Distributed Systems @ Workday
Full-stack engineer and software architect with 25+ years of delivering successful products, from initial concept to post-deployment support. I excel at architecting and building horizontally scalable web applications for diverse Enterprise and Consumer markets, and am experienced in critical pre-sales and post-sales customer interactions.
Session Sponsored By
Better Context. Better Agent. Better Code.
Date
Tuesday Nov 18 / 11:45AM PST ( 50 minutes )
Location
Pacific LM
Video
Video is not available
