Code's Brutal Feedback Loop Made It AI's Perfect Training Ground
Forget the hype about AI rewriting novels or diagnosing diseases overnight. Programming became AI's proving ground because code doesn't lie: it compiles or crashes. This changes everything for devs—and the tools cashing in.
⚡ Key Takeaways
- Coding's binary feedback loop makes it AI's ideal training ground, far ahead of subjective fields.
- AI shifts devs from syntax to architecture, echoing past abstractions like assembly to high-level languages.
- Tool makers like Microsoft profit most, enabling corporate cost-cutting on junior hires.
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Originally reported by The NewStack
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