ai
OpenAI for .NET Developers Articles, Tutorials & News
OpenAI for .NET Developers articles, tutorials, and news from the DotNetNews archive.
621 articles Updated Page 11 of 25
Browse additional OpenAI for .NET Developers articles from the DotNetNews archive.
OpenAI for .NET Developers articles
Page 11 of 25
Newest first
-
Building AI-Powered Code Migration Tools with .NET and Azure OpenAI
C# Corner Issue #481
Leverage .NET and Azure OpenAI to build intelligent AI-powered tools for automating legacy code migration, accelerating modernization.
-
Build AI Agents with Harness Agents in .NET Using Microsoft Agent Framework
C# Corner 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, ...
-
Building AI-Powered Technical Documentation Generators in .NET
C# Corner Issue #481
Build AI-powered technical documentation generators in .NET. Automate API docs, architecture summaries, and onboarding guides.
-
Building AI-Powered Release Notes Generators Using ASP.NET Core
C# Corner Issue #481
Automate software release notes with ASP.NET Core, Azure OpenAI, and Semantic Kernel. Streamline documentation and improve communication.
-
Building AI-Powered Support Engineers with Azure OpenAI and ASP.NET Core
C# Corner Issue #480
Build AI-powered support engineers with ASP.NET Core, Azure OpenAI, and Azure AI Search for faster resolutions and reduced costs.
-
Integrating AI with .NET Using the Official MCP C# SDK v1.0
Medium Issue #480
From .NET Services to AI-Callable Tools — A Practical Guide Continue reading on Simform Engineering »
-
Building AI-Powered Knowledge Extraction Pipelines with ASP.NET Core
C# Corner Issue #480
Unlock insights from unstructured data with ASP.NET Core AI knowledge extraction pipelines. Transform documents into actionable knowledge.
-
Building AI-Enhanced Engineering Metrics Dashboards with Blazor
C# Corner Issue #480
Build AI-enhanced engineering metrics dashboards with Blazor & .NET. Gain predictive insights, detect anomalies, and improve software delivery.
-
From Local to Azure: Deploy Your MCP Server to Production
Medium Issue #480
One codebase. Real Azure data. One deployment target that actually makes sense. Continue reading on Microsoft Azure in Practice »
-
Migrating Agentic Code Python -> C# Part 4
YapCast – Jesse Liberty 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...
-
Improve your AI coding agent with runtime context from Aspire MCP
Tim Deschryver 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...
-
What's one mistake devs make when building cost-efficient AI apps?
YouTube 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...
-
Spec-Driven Development: A Spec-First Approach to AI-Native Engineering
Microsoft Developer 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 ...
-
From RAG to Agentic RAG: Building Self-Improving AI Applications in .NET
C# Corner 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.
-
Building Context-Aware Enterprise Search Applications with ASP.NET Core
C# Corner Issue #479
Build intelligent, context-aware enterprise search with ASP.NET Core, vector databases, and AI for enhanced productivity and knowledge discovery.
-
Context Engineering for AI Applications: Beyond Prompt Engineering
C# Corner 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.
-
We built an AI tool for .NET/C# developers in 2 days
Round The Code 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...
-
Structured Outputs in LLM Applications: A Complete C# Developer Guide
C# Corner 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.
-
How to Build Offline AI Applications in .NET Without Cloud Dependencies
C# Corner 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.
-
Building AI-Powered Apps with Claude and ASP.NET Core
C# Corner Issue #478
Integrate Claude AI into ASP.NET Core with C# to build intelligent apps. Learn API setup, service creation, and REST endpoint exposure.
-
Creating a Simple MCP Server in .NET
The Long Walk — RSS 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…
-
On .NET Live - Demystifying Microsoft Agent Framework Middleware
YouTube 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...
-
Implementing AI Memory Systems in C# Using Vector Databases
C# Corner 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.
-
CLAUDE.md for .NET Developers - Complete Guide with Templates
codewithmukesh Issue #476
Write the perfect CLAUDE.md for .NET projects: memory hierarchy, auto memory, AGENTS.md interop, and copy-paste templates. Updated for mid-2026.
-
20 Advanced Claude Code Tips for .NET Developers
codewithmukesh Issue #476
Twenty advanced Claude Code tips for .NET developers: context engineering, hooks, subagents, MCP, worktrees, and model selection to ship faster in 2026.