Learn to build .NET MCP clients that discover, connect to, and orchestrate external AI agent tools. Practical patterns for distributed agentic systems.
Testing AI Agent Workflows in .NET: Validation Patterns
Practical testing strategies for AI agents in .NET: MCP tool validation, workflow state verification, and production reliability patterns.
Build Voice-Enabled AI Agents in .NET with Azure AI Voice Live
Learn to build real-time voice AI agents in .NET using Azure AI Voice Live and Microsoft Agent Framework. Complete guide to streaming audio, session state, agent orchestration, and production deployment.
Expose Durable Workflows as MCP Tools in Azure Functions
Learn how to expose Microsoft Agent Framework workflows as MCP tools in Azure Functions, enabling agent-to-agent communication and serverless AI coordination.
Human Approval Gates in .NET AI Agent Workflows
Build safe AI agents with human-in-the-loop approval gates using Microsoft Agent Framework. Practical .NET patterns for sensitive operations.
Aspire and Agent Framework: Building Distributed Agentic Systems
Learn how Aspire orchestrates distributed multi-agent systems. Deep dive into the AlpineAI demo architecture with Microsoft Agent Framework.
Azure OpenAI Streaming Chat in Flutter: Real-Time AI for Mobile Apps
Integrate Azure OpenAI streaming chat into Flutter apps with proper state management, error handling, and clean architecture for UAE mobile developers.
Build MCP Servers in ASP.NET Core 9 | AI Tool Integration
Learn to build MCP servers in ASP.NET Core 9 to expose enterprise APIs and business logic as AI-discoverable tools. Covers authentication, hosting, and a UAE expense-approval example.
Azure OpenAI Streaming Chat in Flutter: Real-Time AI for Mobile Apps
Integrate Azure OpenAI streaming chat into Flutter apps with proper state management, error handling, and clean architecture for UAE mobile developers.
Semantic Search in .NET 9 with Microsoft.Extensions.VectorData: Build RAG APIs
Step-by-step guide to implementing semantic search and RAG in .NET 9 using Microsoft.Extensions.VectorData. Store embeddings, query vectors, and expose search APIs.