Building the Backend Infrastructure for an AI-Powered Agent System Introduction: Why Backend Infrastructure Matters

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Building an AI-powered agent system requires robust backend infrastructure that goes far beyond the model itself. While the model may represent only about 10% of the engineering effort, the remaining 90% involves storage, communication, request processing, and scaling. This article explores the critical backend components, highlighting how proper infrastructure enables reliable, secure, and cost‑effective AI deployments.
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