Modular debugging of external cabinets for gymnasium users

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Debug-gym: an environment for AI coding tools to learn how to debug

Learn how debug-gym can equip AI agents to help, enabling them to set breakpoints, navigate the codebase, and print runtime variable values on demand, so they better understand the

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RD Studio

With built-in standards like ADA zones and optimized 2D/3D views, you can work faster and stay compliant. No imports, no mesh tricks - just clean Revit geometry you can control. Adjust size,

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

debug-gym ''s modular design makes it extensible. Users are encouraged to extend debug-gym to their specific usecases, for example by creating new tools that diversify an agent''s action and observation

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Debug-gym

To support this, we introduce debug-gym—a lightweight textual environment with tools like pdb—that enables LLM agents to debug and generate code more effectively.

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debug-gym · PyPI

debug-gym ''s modular design makes it extensible. Users are encouraged to extend debug-gym to their specific usecases, for example by creating new tools that diversify an agent''s action and

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MSR Montréal

We introduce FrogBoss and FrogMini, a state of the art 32B and 14B model for debugging. A text-based environment for interactive debugging that enables Large Language Models to interactively explore

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JTAG Debugging

The key software and hardware components that perform debugging of ESP32 with OpenOCD over JTAG (Joint Test Action Group) interface is presented in the diagram below under the "Debugging

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