From Problems to Patterns: Generative AI in .Net (C#)
The article discusses a new book focused on using generative AI within the .NET framework, specifically C#. It highlights the challenges faced by .NET developers in integrating AI tools and offers solutions through practical examples and patterns. The book aims to provide a comprehensive guide for developers looking to implement AI features in production environments without relying on Python resources.
- ▪The book covers the full Microsoft AI stack, including Microsoft.Extensions.AI and Microsoft.Agents.AI.
- ▪It includes 37 runnable code samples to help developers build real-world applications.
- ▪The content is tailored for .NET developers who need to ship AI features quickly and effectively.
Opening excerpt (first ~120 words) tap to expand
try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 2401238) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } CØDE N!NJΔ Posted on May 22 From Problems to Patterns: Generative AI in .Net (C#) #ai #generativeai #mcp #rag Learn to ship autonomous agents, RAG pipelines, and AI tools using Microsoft.Extensions.AI, Microsoft.Agents.AI, and Model Context Protocol — with 37 runnable code samples. The Problem Most AI books teach you OpenAI's API in Python.
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