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Endigest AI Core Summary
This article discusses the evolution of software infrastructure to support AI agents, driven by exponential growth in agent-initiated deployments.
•Coding agents now initiate over 30% of Vercel deployments, up 1000% in six months, with agents building AI-native software 20 times more likely to use AI inference services.
•Agentic Infrastructure comprises three layers: deployment surfaces for coding agents (CLI, API, MCP servers), infrastructure for building and running agents (AI SDK, Chat SDK, AI Gateway, Fluid compute, Workflows, Queues, Sandbox, Observability), and infrastructure that autonomously monitors and responds to production issues.
•AI SDK provides agent abstraction across frameworks and providers, AI Gateway offers a single endpoint for hundreds of models, Chat SDK enables agents across dozens of chat platforms, and Fluid compute handles unusual AI workload patterns.
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Self-agentic infrastructure investigates anomalies, queries observability data, performs root-cause ana
This summary was automatically generated by AI based on the original article and may not be fully accurate.
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