Validating Python tests with mutation testing

Do you think it's a good idea to test your software? Do you write unit tests or other automated verification for code? I think most of us do these days. A key question is how do you know whether your tests sufficiently verify your code? The standard answer is code coverage.

But there is a difference between executing code (which code coverage measures) and truly verifying it.

On this episode, we'll talk with Austin Bingham. He created a mutation testing framework for Python that goes beyond code coverage to actually perform this verification. It's a fresh and powerful idea. I hope you enjoy it!

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