Interactive Debugging for LLMs

Interactive Debugging for LLMs

Enabling AI to explore and debug code like humans

debug-gym creates a text-based environment allowing LLMs to interactively explore codebases, overcoming the limitation of fixed context windows.

  • Provides a Python debugger interface for LLMs to inspect variables and trace execution
  • Enables models to gather relevant information by navigating through code
  • Supports development of agents that debug interactively rather than relying solely on static context

This research matters because it bridges the gap between LLMs' coding capabilities and real-world programming scenarios, where iterative debugging and exploration are essential engineering practices.

debug-gym: A Text-Based Environment for Interactive Debugging

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