Deconstructing Potpie’s Debugging agent

Potpie’s Debugging Agent is an AI-assisted tool designed to emulate developers’ iterative debugging process by interpreting stack traces, examining nearby code, forming and testing hypotheses, and refining its analysis until it identifies likely root causes. It builds a knowledge graph of a codebase’s functions, files, classes, dependencies, and embedded descriptions, allowing it to retrieve relevant project-specific context through similarity searches, direct code retrieval, neighboring-node analysis, and tags such as API or database. A classification layer determines whether a request can be addressed using general language-model knowledge and conversation history or requires codebase-specific investigation, while prompts guide the agent to extract error details, select tools, validate assumptions, and propose debugging steps. Positioned as a pair-programming assistant, it aims to communicate transparently, retain conversational context, adapt to users’ expertise, request missing information when necessary, and help investigate issues such as API authorization failures, stack traces, and type errors.

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