Build Next-Gen AI Apps with .NET and Azure
summary
Claims that .NET plus Azure and GitHub Models let developers go from months to weeks (author reports a multi‑month project produced in a couple weeks using GitHub Copilot), and that AI adoption velocity is extreme (ChatGPT hit 100M users in five days versus Netflix’s 1,277). Demonstrates concrete tooling: AI templates (chat web app + MCP server), Aspire orchestration to launch Docker Quadrant + web app, Quadrant for embeddings from three PDFs, GitHub Models → Azure/OpenAI swap, and model evaluation for TDD-style checks — the demo runs end-to-end.
AI-written summary · about
chapters (12)
- 0:00Next-gen AI with .NET
- 1:50AI technology evolution
- 3:15Beyond chatbots with generative AI
- 6:51GitHub Copilot workflows
- 10:19AI ecosystem .NET & Azure
- 16:45.NET AI templates
- 22:49Orchestrating apps with .NET Aspire
- 33:38Vector databases & embeddings
- 42:17AI agents & workflows
- 50:48Model Context Protocol
- 55:08Evaluating AI models
- 57:19Summary & next steps
related talks
36mCode Complete: The Day AI Writes Your Next App!
31mAzure AI Innovations at Microsoft
01h 00mBuilding next-level conversational AI apps with .NET and Aspire
01h 03mAI Templates
46mMultimodel Multimodal and Multiagent innovation with Azure AI
46mInfusing your .NET Apps with AI: Practical Tools and Techniques
36mBuilding AI Agents in .NET with Azure AI Foundry
44mAI Building Blocks for .NET: Add intelligence to your C# Apps
