"The transition from chatbots to autonomous agents isn't just a matter of better prompts - it's a shift in infrastructure. As architects building scalable enterprise Agentic platforms, our biggest challenge isn't the "intelligence" of the model itself; it's preparing our information systems to be AI-ready.Agents and large language models must connect to our enterprise systems securely, efficiently, and at scale - and that's where today's connectivity model starts to break."
"Standard REST APIs, the backbone of the Web for decades, are becoming the bottleneck of the Agentic era. This is why the industry is moving toward specialized overlays like the Model Context Protocol (MCP) - and why the evolution of their transport layer matters more than most realize. REST Was Never Designed for Intelligence REST revolutionized the Web, it connected browsers to servers but it was designed for humans, not agents."
Transition from chatbots to autonomous agents requires a shift from prompt engineering to infrastructure readiness. Architects must prepare enterprise information systems to be AI-ready so agents and large language models can connect securely, efficiently, and at scale. Current REST APIs are stateless and human-centric, making them a bottleneck for maintaining multi-step context and intent. The industry is moving toward specialized overlays such as the Model Context Protocol (MCP) to provide context-rich connectivity. Evolution of transport layers and connectivity models is critical to enable scalable, secure, and context-aware enterprise agent deployments.
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