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OpenAI for .NET Developers Articles, Tutorials & News
OpenAI for .NET Developers articles, tutorials, and news from the DotNetNews archive.
621 articles Updated
OpenAI .NET is the focus of this topic page. OpenAI for .NET Developers is a recurring focus for C# and .NET developers working in the Microsoft ecosystem. Intermediate and senior .NET developers use this hub to scan practical writing without treating every link as an endorsement.
Recurring subtopics in recent issues include OpenAI .NET, OpenAI C#, Azure OpenAI .NET, and ChatGPT .NET. Those themes are drawn from titles and excerpts in the newest archive entries for this tag, not from a marketing outline.
Expect publisher tutorials, release notes, architecture write-ups, and field notes linked from DotNetNews issues. Start here is a short editorial shortlist for OpenAI for .NET Developers; the archive list is chronological and larger. Secondary angles such as OpenAI .NET and OpenAI C# appear when the archive actually covered them. Nearby reading often overlaps with Microsoft Semantic Kernel and ML.NET.
Each card points at the original publisher URL and the DotNetNews issue that carried it, so you can read the article in context or jump straight to the source.
Start here
Editor picks for OpenAI
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Building AI-Powered Applications with OpenAI Responses API and .NET
C# Corner 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# Corner 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 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 Issue #488
Useful framing for developers moving beyond simple prompt-response apps.
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Zero To First Agent (Azure OpenAI)
""charp" OR "asp.net" OR "fsharp" OR "c#" OR "vb.net" " - Google News 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
A few years ago, learning AI meant diving into complex theory, research papers, and tools that often felt disconnected from real-world… Continue reading on GoPenAI ».
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One Line of C#. Every AI Provider.
Medium 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.
Archive
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Newest first
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MCP Live!
YouTube Issue #544
The Model Context Protocol (MCP) is the open standard for connecting AI models to tools and data. This half-day event covers MCP end to end: its role as an open standard, how it's adopted across the d...
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What's new in Microsoft Foundry: July and August 2026
Microsoft Dev Blogs Issue #544
Microsoft Foundry's July and August 2026 updates make Hosted Agents, Voice Live integration, and Toolboxes generally available; expand Claude tools hosted on Azure; update Model Router's regions and m...
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Your work might not need the smartest model
Microsoft Developer Issue #544
The smartest model can cost five times more and deliver the same result, or even a worse one. See how evaluating your own work helps you get more value from your agent budget. The post Your work might...
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Microsoft Agent Framework Harness: Testing AI Agents with Evals and OpenTelemetry
C# Corner Issue #544
Learn how to build a Microsoft Agent Framework testing harness using evaluations and OpenTelemetry to measure AI agent behavior, tool calls, latency, failures, and reliability.
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Microsoft.Extensions.AI Failover: Benchmarking Multi-Provider AI Recovery
C# Corner Issue #544
Learn how to benchmark Microsoft.Extensions.AI failover across multiple AI providers, measuring recovery time, latency, reliability, retries, and operational cost.
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Deploying to Foundry
YapCast – Jesse Liberty Issue #544
The demonstration program discussed (and used) in the previous blog posts ran entirely locally as a console application. This week I set out to migrate it to Foundry. To do so, I enlisted the help of ...
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Introducing agent and workflow channels
Microsoft Dev Blogs Issue #544
An agent or workflow is only useful when people and other systems can reach it through the interfaces and channels they already use. That might be an OpenAI Responses client, Telegram, another agent u...
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Building an End-to-End Enterprise AI Platform on Azure
YouTube Issue #542
Enterprise AI systems span ingestion, embeddings, vector search, APIs, and partner integrations—often across serverless and container platforms. In this presentation, see how Contoso builds a producti...
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The Hardest Part of Building AI in .NET Is Not the AI
ai.plainenglish.io Issue #540
Calling an LLM takes a few lines of C#. Production AI is really about reliability, queues, state, cost, observability, integrations, and… Continue reading on Artificial Intelligence in Plain English »
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Conquering the 100-Page PDF: Multi-Agent Map-Reduce RAG for Enterprise Banking
C# Corner Issue #540
Learn how to build large-document RAG with LangGraph using parent-child indexing and Map-Reduce agents to process complex PDFs with efficient context management.
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How to Make AI Write High-Quality Code in .NET
Dev Tips Issue #539
AI writes .NET code fast, but it only follows the rules it cannot skip. Learn how to set up build guardrails, static analysis, and a Claude review skill that catches clean code issues on every change.
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Getting started with RAG in ASP.NET Core
elmah.io Blog - .NET Technical tutorials/guides and new features Issue #539
AI hype is everywhere, but where do you start with .NET? In this beginner-friendly post, we build a simple RAG pipeline in an ASP.NET Core Web API using keyword matching instead of embeddings, coverin...
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RAG in Microsoft Agent Framework – Overview
YapCast – Jesse Liberty Issue #538
Microsoft’s Agent Framework treats retrieval as a first‑class capability so agents can fetch only what they need (or always fetch), attach source metadata, and call search as a tool during reasoning. ...
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From Code to Agents: Build Production MCP Servers on Azure Functions
YouTube Issue #538
AI Agents are transforming how we build software but taking them from prototype to production remains the biggest challenge enterprise teams face. AI Agents need to call real tools- and today that mea...
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Meet Your Claw: A Harness in Three Lines of C#
YouTube Issue #535
One call to AsHarnessAgent gives us the whole agentic loop. From there we add the first three abilities: a custom get_stock_price tool, the built-in web search for market news, and planning with a tod...
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AI Integration in .NET
Medium Issue #534
How to use provider-neutral abstractions, structured outputs, tool calling, resilience, observability, evaluation, and secure application…
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ChatClient Middleware vs Agent Middleware in Microsoft Agent Framework: What I Learned After…
Medium Issue #534
I ran into Jesse Liberty’s post on ChatClient middleware versus Agent middleware a couple of weeks ago, right when I was wiring up logging…
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From dotnet run to Foundry Hosted Agent in 3 lines of C#
Microsoft Dev Blogs Issue #534
A couple of weeks ago I was talking with a couple of friends who are building agents with Microsoft Agent Framework. The demos were great, the agents were smart, everyone was happy. And then one of th...
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Building your own MCP server
YouTube Issue #533
The Model Context Protocol (MCP) is all the rage and rightly so. As the USB-C for AI, it is an incredibly powerful tool that acts as a bridge between real-world systems and LLMs. But how do you get st...
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AI Agents vs LLMs: What’s the Difference and When Should Developers Use Each?
C# Corner Issue #533
Understand the difference between LLMs and AI agents with practical C# and .NET examples covering tool calling, memory, state, agent loops, RAG, guardrails, and enterprise AI architecture.
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CoPilot Harness and Microsoft Agent Framework
YapCast – Jesse Liberty Issue #533
Our friends at Microsoft have paired our development tool (CoPilot) with Microsoft Agent Framework. This powerful combination allows developers to create intelligent agents that can automate tasks, en...
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State in AI Agents: What Should an AI Remember About You?
Medium Issue #532
If an AI agent can remember your conversation, does that mean it actually knows your preferences?
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Powering Memory in Foundry Agent Service, with Azure Cosmos DB
Microsoft Dev Blogs Issue #532
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Building your first MCP server in ASP.NET Core
elmah.io Blog - .NET Technical tutorials/guides and new features Issue #532
The Model Context Protocol (MCP) gives AI assistants a standardized way to interact with software. Learn how to construct your first MCP server in ASP.NET Core, expose C# tools using standard attribut...