Showing category results for AI

Apr 30, 2026
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Building an AI-Powered Conference App with .NET’s Composable AI Stack

Luis Quintanilla

Learn how we built ConferencePulse, an AI-powered conference assistant, using .NET's composable AI stack including Microsoft.Extensions.AI, DataIngestion, VectorData, Model Context Protocol, and Microsoft Agent Framework.

.NETAI
Mar 23, 2026
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Generative AI for Beginners .NET: Version 2 on .NET 10

Pablo,
Bruno

Announcement of Version 2 of Generative AI for Beginners .NET, a free course rebuilt for .NET 10 with Microsoft.Extensions.AI, updated RAG patterns, and new agent framework content across five structured lessons for building production-ready AI apps.

.NETC#AI
Mar 23, 2026
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Ten Months with Copilot Coding Agent in dotnet/runtime

Stephen Toub - MSFT

After ten months using GitHub Copilot Coding Agent (CCA) in dotnet/runtime, the .NET team shares data-driven lessons on cloud-AI-assisted development.

.NETAIDeveloper Stories
Mar 19, 2026
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Accelerating .NET MAUI Development with AI Agents

David Ortinau

Learn how custom-built AI agents are dramatically improving the .NET MAUI contribution workflow, reducing issue resolution time by 50-70% while increasing test coverage and code quality.

.NET.NET MAUIAI
Mar 12, 2026
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Modernize .NET Anywhere with GitHub Copilot

Mika Dumont

See how the modernize-dotnet agent helps you assess apps, create upgrade plans, and modernize .NET projects from Visual Studio, VS Code, GitHub Copilot CLI, and GitHub.

.NETC#Visual Studio
Mar 9, 2026
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Extend your coding agent with .NET Skills

Tim Heuer

Introducing the dotnet/skills repository and how .NET agent skills can improve coding agent workflows.

.NETC#AI
Mar 5, 2026
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Release v1.0 of the official MCP C# SDK

Mike Kistler

Discover what’s new in the v1.0 release of the official MCP C# SDK, including enhanced authorization, richer metadata, and powerful patterns for tool calling and long-running requests.

.NETC#AI
Feb 26, 2026
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Vector Data in .NET – Building Blocks for AI Part 2

Jeremy Likness

Discover how Microsoft.Extensions.VectorData brings unified vector database access to .NET - one interface for semantic search across any vector store with built-in support for embeddings, filtering, and RAG patterns.

.NETC#AI