Building Smarter Code Assistants by Mapping Large Codebases Into Knowledge Graphs

Add to Calendar Apr 17, 2025 Apr 17, 2025 America/Los_Angeles Building Smarter Code Assistants by Mapping Large Codebases Into Knowledge Graphs In this workshop, we’ll first explore the common challenges developers face when working with large codebases, especially when traditional code assistants struggle to provide context for complex projects. Understanding the relationships between files, functions, and dependencies is crucial, but most tools fail to capture this structure, leaving developers with limited insights. Next, we’ll dive into solving this problem by using CodeGPT to load your own code repository. We’ll visualize how the platform builds a Knowledge Graph from your code, transforming it into a structured base of knowledge. This graph will then be used throughout the software development process, from generating code to verifying tasks, providing smarter and more accurate insights to enhance your workflow. Workshop 2 | Gateway Pavilion - Pier 2 | 2 Marina Blvd, San Francisco, CA 94123

About this session

In this workshop, we’ll first explore the common challenges developers face when working with large codebases, especially when traditional code assistants struggle to provide context for complex projects. Understanding the relationships between files, functions, and dependencies is crucial, but most tools fail to capture this structure, leaving developers with limited insights. Next, we’ll dive into solving this problem by using CodeGPT to load your own code repository. We’ll visualize how the platform builds a Knowledge Graph from your code, transforming it into a structured base of knowledge. This graph will then be used throughout the software development process, from generating code to verifying tasks, providing smarter and more accurate insights to enhance your workflow.

Session Speaker

Daniel Avila

Co-Founder

Codegpt

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