Doing More with GitHub Copilot as a .NET Developer
Want to get more out of your GitHub Copilot experience? Here are some easy ways to get started.
The most productive, modern, secure, intelligent, and performant release of .NET yet.
Want to get more out of your GitHub Copilot experience? Here are some easy ways to get started.
Announcing a Public Preview .NET package that adds policy enforcement, startup tool scanning, fallback governance, and response sanitization to MCP servers with a single builder extension.
The `unsafe` keyword is being redesigned to mark caller-facing contracts rather than just syntax. Safety obligations between callers and callees become visible and reviewable. The model is motivated by the rise of AI-assisted code generation and arrives as a preview in .NET 11.
Build durable AI agent workflows with the Microsoft Agent Framework. Start with in-process console apps, add durability with the Durable Task runtime, scale with parallel AI agents, and host on Azure Functions for serverless execution.
Build intelligent AI agents in .NET with the Microsoft Agent Framework. Learn how to create agents with tools, multi-turn conversations, memory, and graph-based workflows that bring together the building blocks from Parts 1 and 2.
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.
Learn how to govern MCP tool calls in .NET with the Agent Governance Toolkit—policy-based access control, security scanning, and response sanitization to reduce risk in AI agent systems.
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.
After ten months using GitHub Copilot Coding Agent (CCA) in dotnet/runtime, the .NET team shares data-driven lessons on cloud-AI-assisted development.
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.