I was chatting with our Cloud Ops lead about our latest AWS bill, and the shift from training costs to "inference costs" is staggering. We’re now hiring specifically for engineers who understand how to optimize token usage—it’s the new "memory management" for the 2026 era. Efficiency is becoming a more valuable skill than raw feature building.

Do you think "Cost-Aware Engineering" should be a standard part of the dev interview process now?

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Cost is always a topic but it depends on the level. I wouldn't want a Jr or mid engineer thinking they should be cost cutting what they do. If thats the case the firm as bigger problems.

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This is a real shift. Training used to be the big headline cost, but at scale, inference can dominate. It’s why optimization, caching, model selection, and cost-aware architecture are becoming core skills — not just “nice to have.”

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