Nine Debugging Principles That Prioritize Mindset Over Tools

A software developer argues that effective debugging begins with treating bugs as wrong assumptions rather than broken code, shifting focus from tool use to belief examination. Before opening a debugger, they recommend writing down expected versus actual behavior, the smallest reproducible input, and a step-by-step account of what the code is believed to do. They advocate binary-search-style isolation of bugs, changing only one variable at a time, and trusting printed runtime data over memory. Additional practices include shrinking the reproduction case, reading full stack traces rather than just the top line, and explaining the problem aloud to surface flawed assumptions. The approach concludes with writing a failing test before applying any fix, ensuring the root cause is genuinely understood and prevented from recurring.