How Agentic AI and .NET Tools Can Power Intelligent Azure Cloud Systems

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Agentic AI enables the development of autonomous systems capable of learning, decision-making, and interacting with their environments to achieve complex goals. Developers building on Azure cloud platforms can leverage tools such as RAG Architecture in .NET, Azure AI Foundry, and Microsoft Semantic Kernel to create and deploy these intelligent systems. RAG Architecture suits scenarios requiring efficient, complex decision-making, while Azure AI Foundry is better suited for large-scale data processing workloads. Common pitfalls in agentic AI development include inadequate agent training and failure to plan for scalability, both of which can undermine production performance. Using AI Orchestration in .NET and the Model Context Protocol can help address these challenges by improving system accuracy and scalability.

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ProgrammingDEV Community ·

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ProgrammingDEV Community ·

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