Abstract: Debugging is a laborious activity in which developers spend lot of time navigating through code, looking for starting points, and stepping through statements. Yet, although debuggers exist ...

Fully autonomous teams of LLM-powered AI agents are emerging that collaborate to perform complex tasks for users. What challenges do developers face when trying to build and debug these AI agent teams ...

Microsoft Research has introduced debug-gym, a novel environment designed to train AI coding tools in the complex art of debugging code. As AI’s role in software development expands, debug-gym aims to ...

debug_gym.agents are LLM-based debugging agents that use debug_gym.gym to interact with code repositories to seek necessary information and thus fix potential bugs. At an interaction step, the agent ...

Large Language Models (LLMs) are increasingly relied upon for coding tasks, yet in most scenarios it is assumed that all relevant information can be either accessed in context or matches their ...

Even though AI can generate code, it is hard to trust it unless you debug the code before implementing it. That is why in this post, we are going to talk about the Debug-Gym tool from Microsoft ...

The technical report corresponds to version 1.0.0. Please see CHANGELOG.md for recent updates. Run debug-gym-init-llm-config --help for more options. By default, the template is created at ...