AI for Mass-Scale Code Refactoring and Analysis

About the Authors

Justine Gehring is a researcher in the field of machine learning for code (ML4Code) and Graph Neural Networks (GNNs). She obtained her master’s from McGill and Mila where her research focused on generating code under challenging circumstances such as library-specific code. Presently, Justine is a research engineer at Moderne, focusing on leveraging AI for large-scale code refactoring and impact analysis. She also oversees the partnership with Mila.

Olga Kundzich is cofounder and CTO at Moderne, delivering automated code refactoring and analysis solutions that operate at mass scale. She has extensive experience building enterprise software solutions. Previously, she worked as a technical product manager at Pivotal focused on application delivery and management solutions (e.g., Spinnaker), and has been a lead software engineer and manager at Dell EMC, working closely with enterprise users on implementing data protection practices. Olga is coauthor of the O’Reilly report Automated Code Remediation.

Pat Johnson is head of marketing for Moderne. She has published and presented on software development, DevOps, and cloud computing topics, with a focus on improving the developer and operator experience alike. Previously, she has worked as portfolio marketing lead for the Tanzu platform at VMware and product marketing manager for CI/CD solutions at both Pivotal and CA Technologies. Pat is coauthor of the O’Reilly report Automated Code Remediation.