Today’s generative AI development solutions focus on enabling an agentic “pair programming” or "vibing" model of software development. CodeLogic, however, is focused on automating significant portions of the software development lifecycle, especially those aspects related to technical debt and code maintenance. In this session, attendees will learn how CodeLogic builds a comprehensive software and data architecture dependency knowledge-graph, and how the system then uses this data to automate planning and execution of AI driven code generation. Additionally, attendees will learn how CodeLogic can fortify interactive AI coding by providing models comprehensive insights into dependency, architecture and complexity across application dependencies, API boundaries and more.