Don't ship 10x more features with AI — spend the surplus understanding users, engineer argues
trq212 · x · 2026-09-23
A counter-narrative to the AI feature arms race: the right way to use rising model capability is not to ship 10x more features to production, but to reinvest the time in understanding users, running experiments, building prototypes, and learning what you don't know — so you ship things that actually work.
The core argument: AI coding leverage should compound into better judgment about what to build, not just more output.
Related event: Engineers: Model Power Should Buy Deeper Understanding, Not 10x Features(3 posts)→
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