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AWS has ~16,000 APIs, so its MCP server runs in code mode. @JamesWard (@AWS) on why agent-written Python is hard to review, and the restricted, schema-validated DSL he's testing instead.
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AWS has ~16,000 APIs, so its MCP server runs in code mode. @JamesWard (@AWS) on why agent-written Python is hard to review, and the restricted, schema-validated DSL he's testing instead.
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A server that lists its skills and serves them as resources, so tools ship with instructions for using them. Ola Hungerford of @Nordstrom on Skills over MCP, dependency gaps, and the context bloat that returns at hundreds of skills.
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Ambud Sharma of @Pinterest maps AI efficiency to five layers: hardware, capacity, inference engine, model and quantization, and routing and governance. The first two are immutable once bought, so no tuning higher up recovers a wrong order.
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Billing alerts run a day or two behind. Agentic loops and retries can burn a budget faster than that. Brent Eubanks, FinOps architect at @Wayfair, on tracking cost per step from observability logs and alerting when one step moves 10 to 15 percent.
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Most FinOps work right now is about slowing AI spend down. Brent Eubanks wants the opposite:
"I want to enable 10X to 1000X more token use over the next two years. That's not what we're worried about."
Wayfair's FinOps Architect episode drops today!
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