OpenAI for .NET Developers Articles, Tutorials & News
OpenAI for .NET Developers articles, tutorials, and news from the DotNetNews archive.
510 articles Updated
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Editor picks for OpenAI
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Building AI-Powered Applications with OpenAI Responses API and .NET
c-sharpcorner.com Issue #503
Responses API coverage is timely, especially for developers comparing newer OpenAI integration patterns with older chat-centric approaches.
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Full-Stack AI Applications with Next.js, ASP.NET Core, and OpenAI
c-sharpcorner.com Issue #502
Broad full-stack walkthrough for teams pairing ASP.NET Core backends with OpenAI features.
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The Story of My OpenAI .NET Contribution
medium.com Issue #501
Always nice to see contribution stories that demystify getting involved in a real SDK.
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7 AI Engineering Patterns Every .NET Developer Should Know (With Practical Examples)
blog.gopenai.com Issue #493
These patterns matter more than model hype. Reliability and system design are where most AI app success or failure really lives.
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Beyond the Chatbot: Demystifying AI Agent Loops, Harnesses, and LLMOps for .NET Developers
medium.com Issue #488
Useful framing for developers moving beyond simple prompt-response apps.
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Zero To First Agent (Azure OpenAI)
news.google.com Issue #450
A practical on-ramp for building an Azure OpenAI agent in C#, especially useful if you want framework context instead of abstract AI talk.
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Generative AI for Beginners in .NET 10: From Curiosity to Real Applications
blog.gopenai.com Issue #426
The distributed-locks article and duplicate-orders story are the kind of operational lessons worth sharing.
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One Line of C#. Every AI Provider.
plsft.medium.com Issue #418
A one-line AI gateway for every provider is the kind of abstraction teams reach for when they want to swap models without rewriting app code.
OpenAI .NET from the DotNetNews archive, curated for .NET developers who already ship production code. This is a reading list pulled from daily issues, not a substitute for the official docs on OpenAI for .NET Developers.
Use Start here for the editorial shortlist, then browse Latest or the full archive when you need more depth. Coverage leans toward OpenAI .NET, OpenAI C#, Azure OpenAI .NET. Recent pieces worth opening: “Building Real-Time AI Chat Applications with WebRTC and ASP.NET Core” and “Building an AI-Powered Knowledge Base Using Vector Databases and C#”.
Latest
Newest OpenAI from the archive
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RAG explained in C#medium.com Issue #504
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Building Your First Agentic AI Application in .NET 10 Step by Stepc-sharpcorner.com Issue #503
- Building Voice Agents with Real-Time Streaming and ASP.NET Core
c-sharpcorner.com Issue #502
- Full-Stack AI Applications with Next.js, ASP.NET Core, and OpenAI
c-sharpcorner.com Issue #502
Archive
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Newest first
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Building Real-Time AI Chat Applications with WebRTC and ASP.NET Core
c-sharpcorner.com Issue #504
Build real-time AI chat apps with WebRTC & ASP.NET Core. Learn architecture, signaling, SignalR, AI integration, and voice support.
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Building an AI-Powered Knowledge Base Using Vector Databases and C#
c-sharpcorner.com Issue #504
Build AI-powered knowledge bases with C# & vector databases for semantic search, understanding user intent & delivering accurate, context-aware answers.
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RAG explained in C#
medium.com Issue #504
Retrieval-Augmented Generation (RAG) combines a large language model (LLM) with search over your own knowledge base. Instead of only…
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Building Your First Agentic AI Application in .NET 10 Step by Step
c-sharpcorner.com Issue #503
Build your first Agentic AI app in .NET 10! Learn to create intelligent agents that plan, use tools, and act autonomously. Step-by-step guide.
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Building an AI Agent Marketplace with ASP.NET Core and Semantic Kernel
c-sharpcorner.com Issue #503
Build an AI Agent Marketplace with ASP.NET Core & Semantic Kernel. Discover, manage, and monetize AI agents efficiently for your organization.
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Semantic Kernel Plugins Explained: Extending AI Applications with .NET
c-sharpcorner.com Issue #503
Unlock AI potential with Semantic Kernel Plugins! Extend .NET apps to interact with databases, APIs, and real-world systems for powerful AI agents.
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Building AI-Powered Applications with OpenAI Responses API and .NET
c-sharpcorner.com Issue #503
Learn to build AI-powered .NET apps using OpenAI's Responses API. Integrate AI for chatbots, content generation, and more with practical examples.
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Building AI-Powered Background Workers and Scheduled Agents with .NET Aspire
c-sharpcorner.com Issue #503
Build intelligent AI background workers & scheduled agents with .NET Aspire for reliable, cloud-native distributed applications.
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Building Voice Agents with Real-Time Streaming and ASP.NET Core
c-sharpcorner.com Issue #502
Build real-time voice agents with ASP.NET Core and SignalR. Learn architecture, streaming, AI integration, and best practices for responsive conversational apps.
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Full-Stack AI Applications with Next.js, ASP.NET Core, and OpenAI
c-sharpcorner.com Issue #502
Build full-stack AI apps with Next.js, ASP.NET Core, and OpenAI. Learn architecture, integration, and best practices for scalable, secure AI solutions.
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How to build long-running MCP tools on Azure Functions
devblogs.microsoft.com Issue #502
Recently, a customer building servers with the Azure Functions Model Context Protocol (MCP) extension reached out and asked: How do I handle tools that take longer than the client is willing to wait? ...
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Building Production-Ready RAG Applications with Azure AI Search and .NET
c-sharpcorner.com Issue #502
Build production-ready RAG apps with Azure AI Search & .NET. Enhance LLMs with your data for accurate, context-aware responses.
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From developer art to good looking apps - an AI design skill for .NET MAUI
mallibone.com Issue #501
I have a confession to make. Hand me a design and I will happily implement it in .NET MAUI. But ask me to come up with the design myself and things get dicey rather quickly. Since this post is part of...
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How to Build Local-First AI Applications Using ONNX Runtime and .NET
c-sharpcorner.com Issue #501
Build private, fast, offline AI apps with ONNX Runtime & .NET. Run models locally for enhanced privacy, reduced latency, and lower costs.
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Implementing AI Cost Optimization and Token Management Strategies in .NET Applications
c-sharpcorner.com Issue #501
Master AI cost optimization in .NET. Learn token management, prompt engineering, caching, and model selection for sustainable AI.
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How to Build an AI Coding Assistant with ASP.NET Core and Local LLMs
c-sharpcorner.com Issue #501
Build an AI coding assistant with ASP.NET Core and local LLMs for enhanced privacy, security, and cost control in your development workflow.
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The Story of My OpenAI .NET Contribution
medium.com Issue #501
There is a particular kind of silence that surrounds you when you open a large codebase for the first time. Continue reading on Level Up Coding »
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Building Multi-Tenant AI SaaS Applications with ASP.NET Core and Azure OpenAI
c-sharpcorner.com Issue #501
Build scalable AI SaaS with ASP.NET Core & Azure OpenAI. Master multi-tenancy for secure, cost-effective, isolated AI services.
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Building Search Applications with Qdrant Vector Database and .NET
c-sharpcorner.com Issue #501
Build intelligent search apps with Qdrant vector database and .NET. Learn semantic search, RAG, and AI-powered retrieval for faster, relevant results.
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Building Event-Driven AI Agents with Azure Service Bus and .NET
c-sharpcorner.com Issue #500
Build scalable, event-driven AI agents with Azure Service Bus and .NET. Automate workflows, process asynchronously, and enhance enterprise AI.
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Building AI Workflows with Semantic Kernel Process Framework in .NET
c-sharpcorner.com Issue #500
Build structured AI workflows in .NET with Semantic Kernel's Process Framework. Orchestrate AI, logic, tools, and human interaction for complex applications.
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Implementing Long-Term Memory for AI Agents with Semantic Kernel and PostgreSQL
c-sharpcorner.com Issue #500
Unlock AI's potential with long-term memory using Semantic Kernel & PostgreSQL. Build context-aware, personalized agents.
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Building Production-Ready RAG Pipelines with Azure AI Search and .NET
c-sharpcorner.com Issue #500
Build production-ready RAG pipelines with Azure AI Search and .NET for accurate, context-aware AI responses using your own data.
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Hosting AI Agents with Microsoft Agent Framework in .NET Ep - 14, Part 2
c-sharpcorner.com Issue #499
Learn how to host AI agents using Microsoft Agent Framework in .NET. This session explains agent hosting architecture, dependency injection, service registration, runtime configuration, deployment str...
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The Verification Layer Every AI Agent Needs (and How I Built One Twice)
topuzas.medium.com Issue #499
Introduction: The Day I Stopped Trusting My Own Agent