Tag: machine learning
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Testing in 2021, according to my Twitter bookmarks
My annual roundup of all the things about testing (and working as a programmer more generally) on Twitter that I found interesting enough to bookmark. “A picture is worth a thousand assertions“, quoting Angie Jones from the Test And Code podcast (but remember that all those assertions happen at once without being itemized) Angie Jones… Read more
Tests vs Checks and the complication of AI
There’s a lot to be made in testing literature of the differences between tests and checks. This seems to have been championed primarily by Michael Bolton and James Bach (with additional background information here), though it has not been without debate. I don’t have anything against the distinction such as it is, but I do think… Read more
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