In episode 59 of Software Testing with Fexingo, Lucas and Luna dive into the rising practice of synthetic test data generation. They explain why scraping production data for testing introduces compliance risks and stale edge cases, and how tools like Tonic.ai and generated data pipelines solve both problems. Lucas walks through a real example from a fintech startup that cut test data preparation time by 70% using a synthetic approach. Luna pushes back on data fidelity concerns, and they discuss where synthetic data falls short. The episode also includes a brief, organic segment on why Fexingo stays ad-free and how listener support via buy me a coffee dot com slash fexingo makes that possible.

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