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A New Way to Look at “Failures”
How-ToMachine Learning

A New Way to Look at “Failures”

via Dev.toCathy Lai3h ago

Pursuing Correctness as Developers As developers, we are trained from school to prioritize correctness. We focus on logic, clean architecture, and passing tests because, in code, being "right" leads to success while being "wrong" leads to failure. Over time, this conditioning causes us to tie our self-worth to being correct, which can become a major hurdle when we transition into building products for the real world. When we start creating content or apps, the predictable link between effort and results often disappears. We might build something technically perfect that nobody uses, or write something insightful that nobody reads. This feels like a failure in the traditional sense, but in the market, "errors" aren't signs of being wrong—they are simply data points. A World with no Predefinded Correctness High-performing developers often fall into a trap where they view a lack of traction as a personal flaw. In programming, a bug is a mistake to be fixed, but in entrepreneurship, being

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