Lucas and Luna unpack why code coverage metrics are often misunderstood and misused in QA teams. They focus on a specific case: a mid-size fintech startup that achieved 85% line coverage but still shipped a critical payment-processing bug. The hosts explain the difference between line coverage, branch coverage, and mutation testing, and why chasing a coverage number can actually make your software less reliable. They also discuss practical strategies for measuring what matters, including how one team at a European bank reduced production defects by half after switching from line to condition coverage. A concrete, actionable episode for engineers and QA managers who want test suites that actually catch bugs.

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