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.
DEV.to (Top) files mainly under programming. We currently carry 4,924 of its stories.
Story provenance
Source · retrieval · rights · ranking — open for full record
inspect →
Story provenance
Attribution is not the same as permission. This drawer separates discovery metadata, excerpts, WeSearch-generated summaries, reuse status, and whether the publisher receives the visit. Nothing here claims a legal grant the publisher has not made.
Record
| Original publisher | DEV.to (Top) |
| Canonical URL | https://dev.to/codeshayk/from-problems-to-patterns-build-production-ai-in-net-c-2lgd |
| Publication time | Fri, 22 May 2026 17:20:42 +0000 |
| Retrieval time | 2026-05-22T17:32:02.754Z |
| Last seen | 2026-05-22T17:32:02.754Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | sZC1sFVCS1-- |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
Rights status (four layers)
WeSearch handling by dimension
| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
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.
…
Excerpt limited to ~120 words for fair-use compliance. The full article is at DEV.to (Top).
Discussion
0 commentsMore from DEV.to (Top)
