How the Engineering Stack Changed in 12 Months — and Why Cost Control Got So Hard
In 12 months the engineering stack went AI-native and usage-based across every layer — dev tools, LLMs, cloud and GPU, serverless, databases, vector stores, and observability. A research-grounded look at what changed and why traditional cost control broke.
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