About the Book
Build production-ready AI applications in .NET using GitHub Copilot, Microsoft Agent Framework, MCP, and Azure AI Foundry with practical examples for agentic design patterns, multi-agent workflows, security, observability, and enterprise deployment.
Key Features
Build and deploy production-ready AI agents using Microsoft Agent Framework and .NET
Master GitHub Copilot agent mode, MCP, and custom instructions for an agentic coding workflow
Ship secure, monitor, and scale AI applications with Azure AI Foundry, Entra Agent ID, and prompt shields
Book DescriptionAI is changing how modern applications are built, and .NET developers now have access to a complete Microsoft AI stack for building intelligent software, leading the next decade of software innovation.
You'll start by transforming your development workflow with GitHub Copilot, not just basic autocomplete, but an advanced agent mode that autonomously completes complex tasks. Learn the secret configurations top developers use to maximize productivity. Then dive into the Microsoft Agent Framework that provides a modern approach for building agentic applications within the Microsoft ecosystem. You'll build Agents with tools, memory, and middleware, the same patterns powering Microsoft's own AI products. Master MCP servers using the official C# SDK to connect your agents to any external system. A key focus of the book is multi-agent orchestration. Design workflows where specialized agents collaborate, with a checkpoint for reliability and a human-in-the-loop for control. Implement enterprise security with Entra Agent ID and Azure AI Content Safety.
By the end, you'll deploy production-grade agents to Microsoft Foundry with full observability, governance, and scaling strategies. This isn't theory, it's your blueprint for building the intelligent applications reshaping every industry.What you will learn
Configure GitHub Copilot, custom instructions, and agent mode for .NET 10
Apply agentic design patterns: tool use, reflection, planning, and collaboration
Build AI agents with the Microsoft Agent Framework, tools, threads, and memory
Create and consume MCP servers using the official C# SDK in your AI applications
Orchestrate multi-agent workflows with graph patterns and human-in-the-loop
Secure agents with Entra Agent ID, prompt shields, and Content Safety
Deploy your AI application to Microsoft Foundry with OpenTelemetry, .NET Aspire, and governance
Who this book is forThis book is for intermediate and senior .NET developers who want to build AI-powered applications using the Microsoft ecosystem. If you work with ASP.NET Core, Blazor, MAUI, APIs, or microservices and want to add AI agents, copilots, and LLM features to your applications, this book is for you. Solution architects and tech leads evaluating Microsoft Agent Framework, MCP, and Azure AI Foundry will also benefit. You should be comfortable with C#, dependency injection, async/await, and REST APIs. No AI or machine learning background is required.
Table of Contents:
Table of Contents- Introduction to AI-Augmented Development in .NET 10
- Setting Up Your AI-Powered Development Environment
- Understanding Agentic Design Patterns
- GitHub Copilot Fundamentals in Visual Studio
- Advanced Copilot Techniques and Agent Mode
- AI-Assisted Refactoring, Testing, and Code Quality
- Getting Started with Azure AI Foundry
- Microsoft Agent Framework Deep Dive
- MCP Servers and Tool Integration
- Multi-Agent Workflows and Orchestration
- Agent Security and Responsible AI
- Testing, Observability, and Evaluation
- Enterprise Integration and Production Deployment
About the Author :
Albert S. Tanure is a cloud computing, software development, and DevOps expert with over 20 years of experience, serving as a software engineer, software architect, cloud solutions architect, and enterprise architect. He is a specialist in Microsoft technologies, having worked with .NET Framework since version 1.1. Currently, he develops cloud-native solutions, defining architectures for global companies for worldwide environments. He has been a Microsoft MVP since 2018 in the development technology category, MCT, and he actively contributes to the technical community through videos on his YouTube channel, Code FC, in addition to writing articles and giving lectures at various face-to-face and online events. Rafael de Carvalho is a Platform Engineer with 15+ years in software engineering and cloud architecture. At Royal Schiphol Group, he engineers platforms for aviation operations. Holding multiple Azure, GitHub and Kubernetes certifications, he bridges cloud infrastructure with intelligent applications. An active open source contributor, his expertise spans the Microsoft AI ecosystem, from Azure services to GitHub Copilot workflows, helping enterprises build scalable, production-grade solutions. Based in the Netherlands, he is passionate about empowering developers through automation and AI augmentation