In episode 30 of Software Testing with Fexingo, Lucas and Luna explore how A/B testing can serve as a powerful bug-finding tool — catching issues in production before they impact all users. They walk through a real-world case from a major e-commerce platform that used controlled experiments to uncover a subtle regression in checkout flow, saving millions in lost revenue. The conversation covers setting up proper statistical thresholds, avoiding common pitfalls like novelty effects and sample ratio mismatch, and integrating A/B testing with traditional QA pipelines. By the end, listeners learn a practical framework for using experimentation not just for feature validation, but as a continuous safety net for software reliability.

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