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OpenAI for .NET Developers Articles, Tutorials & News
OpenAI for .NET Developers articles, tutorials, and news from the DotNetNews archive.
498 articles Updated Page 6 of 20
Browse additional OpenAI for .NET Developers articles from the DotNetNews archive.
OpenAI for .NET Developers articles
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Building Enterprise AI Approval Workflows with ASP.NET Core
c-sharpcorner.com Issue #481
Build robust enterprise AI approval workflows with ASP.NET Core and Azure OpenAI. This guide details how to integrate AI recommendations with human oversight for critical business decisions, ensuring ...
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How to Build AI-Powered Requirement Traceability Systems with ASP.NET Core
c-sharpcorner.com Issue #481
Build AI-powered requirement traceability systems with ASP.NET Core. Automate links, improve coverage, and enhance compliance for enterprise software.
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Building AI-Powered Code Migration Tools with .NET and Azure OpenAI
c-sharpcorner.com Issue #481
Leverage .NET and Azure OpenAI to build intelligent AI-powered tools for automating legacy code migration, accelerating modernization.
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Build AI Agents with Harness Agents in .NET Using Microsoft Agent Framework
c-sharpcorner.com Issue #481
Learn how to build AI agents with Harness Agents in .NET using Microsoft Agent Framework. This session explains agent orchestration, Harness Agent capabilities, workflow automation, tool integration, ...
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Building AI-Powered Technical Documentation Generators in .NET
c-sharpcorner.com Issue #481
Build AI-powered technical documentation generators in .NET. Automate API docs, architecture summaries, and onboarding guides.
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Building AI-Powered Release Notes Generators Using ASP.NET Core
c-sharpcorner.com Issue #481
Automate software release notes with ASP.NET Core, Azure OpenAI, and Semantic Kernel. Streamline documentation and improve communication.
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Building AI-Powered Support Engineers with Azure OpenAI and ASP.NET Core
c-sharpcorner.com Issue #480
Build AI-powered support engineers with ASP.NET Core, Azure OpenAI, and Azure AI Search for faster resolutions and reduced costs.
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Integrating AI with .NET Using the Official MCP C# SDK v1.0
medium.com Issue #480
From .NET Services to AI-Callable Tools — A Practical Guide Continue reading on Simform Engineering »
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Building AI-Powered Knowledge Extraction Pipelines with ASP.NET Core
c-sharpcorner.com Issue #480
Unlock insights from unstructured data with ASP.NET Core AI knowledge extraction pipelines. Transform documents into actionable knowledge.
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Building AI-Enhanced Engineering Metrics Dashboards with Blazor
c-sharpcorner.com Issue #480
Build AI-enhanced engineering metrics dashboards with Blazor & .NET. Gain predictive insights, detect anomalies, and improve software delivery.
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From Local to Azure: Deploy Your MCP Server to Production
medium.com Issue #480
One codebase. Real Azure data. One deployment target that actually makes sense. Continue reading on Microsoft Azure in Practice »
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Migrating Agentic Code Python -> C# Part 4
jesseliberty.com Issue #480
In the previous blog post we looked at the Blogger (orchestrator) code in C#. Let’s move on to some of the other agents. The Blogger invokes the Researcher, so let’s go there next. The Researcher clas...
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Improve your AI coding agent with runtime context from Aspire MCP
timdeschryver.dev Issue #479
The power of giving an AI agent access to OpenTelemetry data through Aspire MCP is simple: it gives the agent better input to analyze. Instead of reasoning only from source code, the agent can inspect...
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What's one mistake devs make when building cost-efficient AI apps?
youtube.com Issue #479
Most devs over‑optimize the model 🤖 The real leverage is in the system 🔧 Tweaking prompts & swapping models ≠ better outcomes Giving AI the right data + context = better reasoning + results Build th...
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Spec-Driven Development: A Spec-First Approach to AI-Native Engineering
developer.microsoft.com Issue #479
AI has made software delivery faster, but speed alone does not guarantee better outcomes. As teams adopt AI-native development, the real challenge is keeping requirements, design, implementation, and ...
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From RAG to Agentic RAG: Building Self-Improving AI Applications in .NET
c-sharpcorner.com Issue #479
Learn how Agentic RAG extends traditional Retrieval-Augmented Generation by combining AI agents, reasoning, planning, and tool usage to build intelligent self-improving AI applications in .NET.
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Building Context-Aware Enterprise Search Applications with ASP.NET Core
c-sharpcorner.com Issue #479
Build intelligent, context-aware enterprise search with ASP.NET Core, vector databases, and AI for enhanced productivity and knowledge discovery.
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Context Engineering for AI Applications: Beyond Prompt Engineering
c-sharpcorner.com Issue #479
Learn how context engineering goes beyond prompt engineering by optimizing retrieval, memory, tool outputs, and information pipelines for enterprise AI applications in .NET.
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We built an AI tool for .NET/C# developers in 2 days
roundthecode.com Issue #479
We built an AI tool for .NET and C# developers in just 2 days using Claude's API. Here's how we did it, the prompts we used, and how you can try it now. The page We built an AI tool for .NET/C# develo...
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Structured Outputs in LLM Applications: A Complete C# Developer Guide
c-sharpcorner.com Issue #479
Learn how to implement structured outputs in C# AI applications. Discover schema validation, strongly typed models, JSON responses, and best practices for building reliable enterprise LLM solutions.
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How to Build Offline AI Applications in .NET Without Cloud Dependencies
c-sharpcorner.com Issue #478
Build offline AI apps in .NET without cloud. Leverage local models like Phi & tools like Ollama for privacy, cost savings, and faster responses.
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Building AI-Powered Apps with Claude and ASP.NET Core
c-sharpcorner.com Issue #478
Integrate Claude AI into ASP.NET Core with C# to build intelligent apps. Learn API setup, service creation, and REST endpoint exposure.
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Creating a Simple MCP Server in .NET
pmichaels.net Issue #477
In my previous post, I covered how to interact with a local LLM from .NET using LM Studio. In this post, I’m going to take that a little…
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On .NET Live - Demystifying Microsoft Agent Framework Middleware
youtube.com Issue #477
In this session we'll walk through how Daniel Costea uses ChatClient and Agent middleware to turn plain .NET AI agents into production‑ready systems with observability, safety, and cost control. Start...
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Implementing AI Memory Systems in C# Using Vector Databases
c-sharpcorner.com Issue #477
Learn how to implement AI memory systems in C# using vector databases. Discover embeddings, semantic search, memory architectures, and best practices for building intelligent AI applications.