Debugging Methodology

Debugging is the systematic process of finding and fixing bugs. It is not about staring at code until you see the problem — it is a repeatable method that works on any bug, in any language. The best debuggers are not the smartest programmers; they are the most methodical.

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This concept is covered in two parts:

1. Part 1: Approach and Mental Models — The 7-step method (Reproduce, Isolate, Hypothesize, Test, Fix, Verify, Prevent) and strategies by error type
2. Part 2: Tools and Techniques — print debugging, breakpoint()/pdb, icecream, snoop, and common mistakes

Practice

• Level 0 projects — practice debugging failing tests
• Module 08 Advanced Testing — systematic testing catches bugs early
• Errors and Debugging — understanding Python errors
• Reading Error Messages — traceback anatomy

Review: Flashcard decks Practice reps: Coding challenges

Further Reading

• pdb — The Python Debugger (Python docs)
• icecream on PyPI
• snoop on PyPI

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