Why programming became the proving ground for AI
SMRTR summary
Software development became AI's proving ground because programming environments provide immediate, objective feedback through compilers and tests. Unlike other fields where correctness is subjective, code either works or it doesn't. This created a virtuous cycle where AI models rapidly improve through constant testing against real-world constraints, evolving from autocomplete to autonomous agents that can refactor code and fix their own mistakes.
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