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Table of Contents Introduction Prerequisites Creating the Storage Account and Enabling Static Website Hosting Custom Domains and HTTPS Creating the Identity GitHub Will Authenticate As The Federated Credential Granting the Role GitHub Repository Secrets The Workflow Two Upload Passes, Two Cache Policies Why the Deploy Never Deletes Anything CORS on the API Adding Front Door or CDN Verifying a Deployment Troubleshooting Conclusion Introduction A Preact application built with Vite compiles to a handful of static files — one index.html, a folder of fingerprinted JS and CSS, and whatever images you imported. There is no server-side rendering step and no Node process to keep alive, so paying for an App Service or a container to serve them is pure waste. ...

Table of Contents Introduction What a Null Guard Actually Is Why Guards Exist: The Fail-Fast Principle The Nullable Reference Types Twist The Boundary Rule: Where Guards Earn Their Keep What the Analyzers Say: CA1062 and CA2264 Guards in Constructors Modern Tooling: ThrowIfNull and Friends Guard-Clause Libraries: Worth It? Performance Considerations A Decision Framework Conclusion Introduction Open almost any mature C# codebase and you will find methods that begin like this: ...

Table of Contents Introduction Prerequisites Setting Up Azure Foundry AI Agent Creating Your First Agent Configuring MCP Server Connection Testing and Validation Troubleshooting Next Steps Introduction This guide provides complete, step-by-step instructions for connecting to Model Context Protocol (MCP) servers from Azure Foundry AI Agent without writing any code. Azure Foundry AI Agent allows you to create intelligent agents that leverage MCP tools through simple YAML configuration, making it accessible to users of all technical levels. ...

Table of Contents Introduction Prerequisites Project Setup Configuration Implementing the Azure OpenAI Service Implementing the MCP Client Service Creating the Chat Orchestrator Building the API Endpoints Testing and Validation Troubleshooting Deployment to Azure Next Steps Introduction This guide provides complete, step-by-step instructions for building an ASP.NET Core application that integrates Azure OpenAI (LLM) services with a Model Context Protocol (MCP) server. The application acts as an intelligent middleware that: Receives user requests via REST API Processes them through Azure’s Large Language Model Leverages MCP tools for enhanced functionality Returns intelligent, context-aware responses What You’ll Build By the end of this guide, you’ll have a minimal but fully functional ASP.NET Core application that: ...

Table of Contents Introduction Prerequisites Project Setup Understanding the MCP Architecture Implementing the Core Server Creating MCP Tools Tool Naming and Descriptions SSE (Server-Sent Events) Specifics Testing Your MCP Server Complete Example Introduction The Model Context Protocol (MCP) is an open protocol that standardizes how applications provide context to Large Language Models (LLMs). This guide demonstrates how to build an MCP server using ASP.NET Core and C#. An MCP server exposes tools that LLMs can discover and invoke. These tools are simply API endpoints decorated with special attributes that make them discoverable through the MCP protocol. ...