Why Developers Should Keep Coding Even as AI Outpaces Human Output

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The rise of AI coding tools has prompted fears of developer obsolescence, much like Deep Blue's 1997 defeat of chess champion Garry Kasparov once unsettled the chess world. However, competitive chess not only survived that milestone but grew more popular, with players using engines as training tools rather than viewing them as replacements. The same principle, the author argues, applies to software engineering: writing code, debugging systems, and reasoning through architectural tradeoffs retain value independent of AI speed. Just as chess grandmasters deepened their judgment by training against machines, developers who continue building and problem-solving by hand cultivate a form of expertise that raw AI output cannot replicate. The argument is not that humans will outpace AI, but that deliberate, sustained practice builds the kind of judgment that only comes from doing the work yourself.

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