The pull request was perfect. Unit tests passed, green checkmarks all the way down. In the staging environment—a supposedly exact, sterile replica of production—the new recommendation engine purred. It handled every test case thrown at it. The deploy button was pressed at 3 PM on a Tuesday, a time chosen for its supreme dullness. Ten minutes later, the company’s homepage was serving gibberish to 40% of its users and the on-call engineer’s phone was screaming.
What went wrong is the
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