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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 Page 4 of 25
Browse additional OpenAI for .NET Developers articles from the DotNetNews archive.
OpenAI for .NET Developers articles
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Gate2ASI AI’s AgentFactory: From Agent Memory to Governed Operational Intelligence
C# Corner Issue #516
Gate2ASI AI's AgentFactory builds governed digital teams with persistent memory, operational intelligence, and human oversight for reliable enterprise AI.
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From Prompt Engineering to Harness Engineering: How .NET Teams Should Build Around Claude Code
Medium Issue #516
For a long time my mental model for getting good output from Claude Code was: write a better prompt. Add more context to the system prompt…
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Building Retrieval Pipelines with Microsoft.Extensions.VectorData in .NET
C# Corner Issue #516
Build flexible .NET retrieval pipelines with Microsoft.Extensions.VectorData, avoiding vector database lock-in and standardizing RAG architectures.
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Vector Databases with .NET: PostgreSQL pgvector vs Azure AI Search vs Qdrant
C# Corner Issue #516
Compare PostgreSQL pgvector, Azure AI Search, and Qdrant for .NET AI apps. Choose the best vector database for RAG, semantic search, and more.
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Building AI-Powered Build Diagnostics with the Microsoft Binlog MCP Server
C# Corner Issue #516
AI-powered build diagnostics with Microsoft Binlog MCP Server. Analyze MSBuild .binlog files via natural language for faster debugging.
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Understanding SOLID Principles in C#
Medium Issue #516
Most .NET developers learn SOLID early — yet many production systems still become tightly coupled, difficult to test, and painful to…
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Custom Error Hierarchies in Enterprise LangGraph Multi-Agent Systems
C# Corner Issue #516
Build resilient enterprise AI with custom error hierarchies in LangGraph. Achieve automated self-healing and enhanced observability.
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How to Build a Production-Ready AI Chatbot in ASP.NET Core Using Retrieval-Augmented Generation (RAG)
C# Corner Issue #515
Build a production-ready AI chatbot in ASP.NET Core using RAG. Leverage your business data for accurate, context-aware responses.
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Production-Ready AI Chat Applications in Blazor Using Semantic Kernel
C# Corner Issue #515
Build production-ready Blazor AI chat apps with Semantic Kernel. Learn architecture, best practices, and deployment for scalable, secure LLM integration.
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OpenAI Responses API vs Chat Completions API: A Migration Guide for .NET Developers
C# Corner Issue #515
Migrate .NET AI apps from OpenAI Chat Completions to Responses API for enhanced tool calling, structured outputs, and future AI features.
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ChatClient Middleware vs. Agent Middleware
YapCast – Jesse Liberty Issue #515
As noted in a previous post, middleware plays a pivotal role in enhancing the functionality and observability of agents. The Microsoft Agent Framework utilizes two primary types of middleware: ChatCli...
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Implementing Agent-to-Agent Communication Protocols in Enterprise Systems
C# Corner Issue #515
Standardize enterprise AI agent communication with FIPA-ACL inspired protocols in .NET for reliable task delegation and negotiation.
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How I Fixed a Silent Bug in Microsoft’s Semantic Kernel
Medium Issue #514
My contribution to a 28k-star Microsoft OSS project: adding Think support to the Ollama connector for .NET reasoning models
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Adding AI to Your ASP.NET Core Application: What It Actually Involves
Facile Technolab Blog Issue #514
What adding AI to an existing ASP.NET Core application actually involves - integration patterns, Microsoft Agent Framework, Azure OpenAI, and what to expect.
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Designing AI-Ready Web APIs in ASP.NET Core
C# Corner Issue #513
Design AI-ready web APIs in ASP.NET Core with predictable endpoints, structured responses, and accurate OpenAPI for seamless AI integration.
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Announcing v2.0 of the official MCP C# SDK
Microsoft Dev Blogs Issue #512
The Model Context Protocol (MCP) C# SDK has reached v2.0, implementing the 2026-07-28 revision of the MCP specification. It's the largest revision of the protocol since it launched.
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AI Governance and Autonomous AI Agent Governance: From Controlling Models to Governing Digital Actors - Human-in-the-Loop Is Not Enough
C# Corner Issue #512
AI governance evolves from model control to governing autonomous digital actors, emphasizing identity, authorization, and accountability for responsible operations.
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I built an AI-writing detector that shows its work — and speaks Spanish
Medium Issue #511
Most AI detectors are black boxes. You paste a paragraph, a number comes back (“87% AI”) and you’re supposed to trust it. A teacher can’t…
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Enterprise AI Patterns for .NET Developers
YouTube Issue #511
Join Bruno Capuano and Angel Hernandez for a live conversation on the latest developments in AI for .NET developers. In this episode, we'll explore practical ways to integrate AI into modern .NET appl...
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Microsoft updates MCP C# SDK for stateless MCP - InfoWorld
infoworld.com Issue #511
Microsoft updates MCP C# SDK for stateless MCP InfoWorld
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From Keywords to Meaning: Building Semantic Vector Search in .NET
Medium Issue #511
Traditional search finds keywords. Vector Search finds meaning.
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OpenTelemetry in Microsoft Agent Framework Apps
YapCast – Jesse Liberty Issue #511
Observability has become a critical component for ensuring the performance and reliability of applications. OpenTelemetry, an open-source observability framework, provides developers with the tools ne...
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Agentic AI System Design Explained: The Building Blocks Behind Real AI Agents
C# Corner Issue #510
Unlock the secrets of agentic AI system design: explore building blocks like model routing, tools, memory, orchestration, and production principles for reliable AI agents.
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Global Exception Handling in ASP.NET Core: Building Consistent and Secure Error Responses
C# Corner Issue #510
Master ASP.NET Core global exception handling for secure, consistent error responses. Centralize, log, and map exceptions for robust applications.
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Building AI Features with the OpenAI Responses API in ASP.NET Core
C# Corner Issue #508
Integrate OpenAI's unified Responses API into ASP.NET Core for AI features like chatbots, content generation, and summarization. Simplify AI development.