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OpenAI for .NET Developers Articles, Tutorials & News
OpenAI for .NET Developers articles, tutorials, and news from the DotNetNews archive.
665 articles Updated Page 10 of 27
Browse additional OpenAI for .NET Developers articles from the DotNetNews archive.
OpenAI for .NET Developers articles
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Your first MCP server with ASP.NET
Tim Deschryver Issue #489
Learn how to query your application's data using natural language by building an ASP.NET MCP server.
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Building Enterprise AI Capability Catalogs with ASP.NET Core
C# Corner Issue #489
Build an Enterprise AI Capability Catalog with ASP.NET Core to centralize, discover, govern, and reuse AI assets, boosting innovation and reducing duplication.
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Migrating Agentic Code Python -> C# Part 6 (final)
YapCast – Jesse Liberty Issue #489
In the previous post we finished up creating our agents. You’ll remember that each of the agents declared nodes. We’re finally going to put them to use in a class BlogWorkflow that is going to take a ...
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Building AI-Powered API Backward Compatibility Testing in ASP.NET Core
C# Corner Issue #489
Build AI-powered API backward compatibility testing in ASP.NET Core to ensure seamless evolution and prevent client disruptions.
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Implementing AI-Based Dependency Risk Analysis in Large .NET Solutions
C# Corner Issue #489
Leverage AI for .NET dependency risk analysis. Proactively manage vulnerabilities, predict issues, and optimize large solutions with ASP.NET Core.
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Building Enterprise AI Decision Audit Systems Using .NET
C# Corner Issue #489
Build enterprise AI decision audit systems with .NET. Ensure transparency, accountability, and compliance for AI-driven decisions.
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AI-Powered MSBuild Investigation with the Microsoft Binlog MCP Server
Microsoft Dev Blogs Issue #489
MSBuild binary logs (.binlog files) contain a wealth of information about your build — every property evaluation, target execution, task invocation, error, and warning. But navigating that data manual...
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Building Multi-Agent Systems in C# with .NET: A Practical Guide
Medium Issue #488
AI agents are powerful.
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.NET AI Community Standup: Multi-Agent Apps with Aspire + MAF
YouTube Issue #488
After some techinical difficulties last week, we're excited to restream this content in its entirety! Join Bruno and Tommaso for a look at building distributed multi-agent systems with Aspire and MAF ...
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Migrating C# -> Microsoft Agent Framework
YapCast – Jesse Liberty Issue #488
In the previous blog posts I ported a Python application to C#. However, I did not take advantage of the Microsoft Agent Framework (MAF). In this admittedly long post, I’ll migrate that code to MAF. F...
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Building an AI-Powered .NET
Medium Issue #488
Artificial intelligence is changing the way modern applications are built. Earlier, software mainly worked through fixed instructions…
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Blazor Community Standup: WebMCP in Action with Blazor
YouTube Issue #488
Yanislav Ivanov from Telerik joins us to show how Blazor components use WebMCP to expose actions directly to AI agents, enabling natural language prompts to drive real UI interactions. 🔗 Links: https...
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Building AI-Powered Release Intelligence Dashboards for Engineering Teams
C# Corner Issue #488
Build AI-powered release intelligence dashboards for engineering teams using ASP.NET Core to gain actionable insights, predict risks, and improve software delivery.
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Building AI-Powered Software Dependency Intelligence with .NET
C# Corner Issue #488
Leverage .NET and AI for intelligent software dependency management, enhancing security, reliability, and developer productivity.
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Designing AI-Oriented Domain Models in ASP.NET Core Applications
C# Corner Issue #488
Design AI-oriented domain models in ASP.NET Core for intelligent apps. Integrate AI concepts for better scalability and business alignment.
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Building Intelligent NuGet Package Upgrade Assistants with AI
C# Corner Issue #488
Leverage AI to build intelligent NuGet package upgrade assistants, simplifying .NET dependency management, reducing risks, and boosting developer productivity.
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Beyond the Chatbot: Demystifying AI Agent Loops, Harnesses, and LLMOps for .NET Developers
Medium Issue #488
If you’re still just passing a string to an OpenAI endpoint and printing the response to the screen, you’re building tech demos, not…
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Migrating Agentic Code Python -> C# Part 5
YapCast – Jesse Liberty Issue #488
In the previous post we looked at implementing the Researcher in C#. In this, as promised, we’ll look at the Author and the Reviewer. The Author is handed two objects when instantiated: the llm (an IC...
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Building AI-Powered Database Migration Assistants with .NET and Azure AI
C# Corner Issue #487
Build AI-powered database migration assistants with .NET & Azure AI. Automate risk analysis, SQL generation, and documentation for safer, faster migrations.
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Building AI-Powered Knowledge Verification Systems with ASP.NET Core
C# Corner Issue #487
Build AI knowledge verification systems with ASP.NET Core to ensure accuracy, trust, and compliance in enterprise AI applications.
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How to Build AI-Powered Service Desk Automation Platforms
C# Corner Issue #487
Unlock efficient IT support with AI-powered service desk automation. Learn to build platforms using ASP.NET Core for faster resolutions and better user experiences.
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Building AI-Powered Application Configuration Advisors with .NET
C# Corner Issue #487
Build AI-powered application configuration advisors with .NET to proactively identify risks, optimize settings, and enhance security for improved reliability.
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AI-Powered Knowledge Extraction from Enterprise Documents Using .NET
C# Corner Issue #487
Unlock enterprise document insights with .NET and AI. Automate knowledge extraction, improve search, and boost efficiency.
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Building Internal AI Copilots for Engineering Teams: Architecture and Best Practices
C# Corner Issue #487
Build internal AI copilots for engineering teams using ASP.NET Core, Semantic Kernel, Azure OpenAI, and Azure AI Search for enhanced productivity.
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Building AI-Powered Compliance Monitoring Platforms with .NET
C# Corner Issue #487
Build AI-powered .NET compliance monitoring platforms for proactive risk detection, automated audits, and continuous regulatory adherence.