Much of today’s generative AI development solutions focus on enabling an agentic “pair programming” or "vibing" model of software development or "unstructured" automated code generation. In contrast, CodeLogic is focused on automating significant portions of the software development lifecycle as structured workstreams, with a focus on technical debt and code maintenance.

In this session, attendees will learn about the mechanics of how CodeLogic builds a comprehensive software and data architecture knowledge-graph, how the platform uses this data to generatively automate planning and execution workstreams, and how these workstreams are used to drive autonomous AI driven remediation and 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.