Potpie's Debugging Agent is an AI tool that mirrors how developers debug code, using a knowledge graph of the codebase to understand relationships between functions, files, and classes. It features Knowledge Graph Queries, Code Retrieval, Node Neighbor Analysis, and Tag-based Retrieval to provide precise debugging assistance. The agent acts as an experienced pair programmer, analyzing stacktraces, providing debugging directions, and helping developers iteratively reach the root cause of issues.

This blog explores how knowledge graphs can help language models generate code with better context by understanding the entire codebase. It discusses challenges like duplicating functionality, violating design patterns, and missing business requirements. The approach involves mapping function relationships, providing runtime code fetches, and delivering function-level explanations via a vector database for agents to query. This system optimizes code generation by providing detailed, dynamic context to avoid redundant, inconsistent code and ensure alignment with design and business logic across complex codebases.