In this episode, Lucas and Luna dive into the overlooked practice of bug taxonomy — categorising software defects by root cause, severity, and occurrence pattern. They explain why most QA teams skip this step, and how a structured taxonomy at companies like Microsoft and Google has cut bug-fix time by up to 30 percent. Using real examples — from a null-pointer crash in a NASDAQ trading engine to a data-corruption bug in a healthcare app — they show how a simple classification system helps teams prioritise, allocate resources, and prevent recurring issues. The conversation also covers how to start small with just a spreadsheet and five categories. If you are a QA lead, test engineer, or developer wondering why the same bugs keep resurfacing, this episode offers a concrete framework to break the cycle.

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