We are excited to announce new updates for the GitHub Copilot CLI that bring the power of the GitHub platform directly into your terminal environment. Check out our new terminal user interface (TUI) featuring a native GitHub color palette, dedicated tabs for issues and pull requests, and instant access to your gists. Watch how you can assign team members, create pull requests with simple slash commands, and ask Copilot to review code without ever switching back to your browser window.

#GitHubCopilot #CopilotCLI #Terminal

GitHub Copilot CLI: https://github.com/features/copilot/cli?utm_source=youtube-new-tui-announcement&utm_medium=social&utm_campaign=dev-pod-copilot-cli-2026

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Host Justin Garrett sits down with Microsoft MVP Andrew Pruski to explore the power of vector search in SQL Server 2025 and how it’s changing the way we find meaning in data. In this episode, Andrew walks through a fun but practical demo called the “Burrito Bot,” a semantic search application that uses embeddings and vector indexing to recommend restaurants based on concepts like “cozy atmosphere” or “romantic date spot.” Along the way, you’ll learn how vector search works, how embeddings capture meaning, and how to scale efficiently using SQL Server’s new capabilities. Whether you’re a DBA, developer, or AI enthusiast, this episode breaks down complex concepts like high-dimensional vectors, cosine similarity, and approximate nearest neighbor search into approachable, real-world examples.
In this episode, you’ll learn:
✅How vector search enables semantic (meaning-based) search beyond traditional keyword matching
✅How to generate and use embeddings in SQL Server 2025 for real-world applications
✅How cosine similarity and vector distance power more accurate search results
✅Best practices for scaling with vector indexes and approximate nearest neighbor (ANN) search
✅How to build a practical AI app using RAG (Retrieval-Augmented Generation) with Azure AI Foundry
✅Why choosing the right model for the job (cost vs performance) matters in AI solutions

🔗 Chapter Markers:
00:07 - Intro: Meet Andrew Pruski + AI Breakthrough Moment
01:09 - Vector Search vs Keyword Search (Why It Matters)
02:10 - Live Demo: Building the Burrito Bot App
05:21 - Data + Embeddings: How AI Understands Meaning
10:39 - Visualizing Vectors and Similarity (Made Simple)
18:07 - Scaling Search with Vector Indexes and ANN
24:11 - RAG + GPT: Smarter Search Experiences
33:33 - Future of AI Search + MVP Journey

👉 Subscribe for more MVP insights and AI-powered development tips!
#VectorSearch #SQLServer2025 #SemanticSearch #VectorSearchDemo #SemanticSearchAI #EmbeddingsExplained #AzureAIFoundry #AzureOpenAIService #RAGArchitecture #AIInDatabases #SQLServerAI #ApproximateNearestNeighbor #CosineSimilarity #MachineLearningDemo #AIForDevelopers #DataPlatform #MicrosoftAzure #CloudAI #DatabaseAI #AIEngineering #DevRel #TechDeepDive

🔗 Resources & Links
🎁 Free Microsoft Foundry Trial: https://aka.ms/devrelft
📊Visualization app: projector.tensorflow.org
✏️Andrew's repo: github.com/dbafromthecold/​aipoweredsearch
🧾Vector search docs: learn.microsoft.com/sql/sql-server/ai/vectors?view=sql-server-ver17#vector-search
About Andrew

Andrew is a Microsoft Data Platform MVP and Docker Captain who helps organise Data Ceili and EightKB. He is interested in all things database/kubernetes/container related and shares his passion for these topics by speaking at events across the world. Originally from Wales but now exploring Ireland.

Bluesky: @dbafromthecold.com

Blog: dbafromthecold.com

About Justin

Justin Garrett is host of MVP Unplugged, Principal PM in Developer Relations, in Microsoft Cloud + AI. Justin’s career at Microsoft spans 20 years across Windows, Bing, Edge, Web Platform, Academic / University Relations, Cloud Advocacy, and most recently a leader of the MVP Program. In his spare time, he enjoys volunteering in STEM, coaching youth soccer, planting trees and is an avid mountaineer and outdoorsy person.

🔗 Chapter Markers:
00:07 - Intro: Meet Andrew Pruski + AI Breakthrough Moment
01:09 - Vector Search vs Keyword Search (Why It Matters)
02:10 - Live Demo: Building the Burrito Bot App
05:21 - Data + Embeddings: How AI Understands Meaning
10:39 - Visualizing Vectors and Similarity (Made Simple)
18:07 - Scaling Search with Vector Indexes and ANN
24:11 - RAG + GPT: Smarter Search Experiences
33:33 - Future of AI Search + MVP Journey

🔗 Resources & Links
🎁 Free Microsoft Foundry Trial: https://aka.ms/devrelft
📊Visualization app: projector.tensorflow.org
✏️Andrew's repo: github.com/dbafromthecold/​aipoweredsearch
🧾Vector search docs: learn.microsoft.com/sql/sql-server/ai/vectors?view=sql-server-ver17#vector-search

Bluesky: @dbafromthecold.com
Blog: dbafromthecold.com

Build enterprise-ready AI agents that scale without sacrificing security or control using Microsoft Azure. Establish a shared Governance Hub to centralize model access, MCP catalogs, and policy enforcement, then give every agent a traceable identity, runtime protection, and data governance through Agent 365. Layer in Microsoft Fabric's Ontologies so your agents reason over real business context, not just raw data. Choose your runtime — no-code, hosted container, or custom — and deploy a production-grade environment in minutes using the AI Landing Zone accelerator.

Matt McSpirit, Microsoft Azure Expert, joins Jeremy Chapman, Microsoft 365 Director, to share how to architect, govern, and scale a full agent mesh across the Microsoft stack.

► QUICK LINKS:
00:00 - Build secure AI agents
01:07 - Accelerate development, reduce risks
02:51 - Model Gateway + MCP Gateway
03:24 - Agent 365 Unified Control Plane
03:56 - Azure Policy + Azure Monitor
04:27 - Intelligent data platform
05:37 - OneLake in Microsoft Fabric
06:39 - Microsoft Purview data governance
07:13 - Fabric IQ with Ontologies
07:51 - Landing Zones
09:23 - Three Hosting Runtimes
11:06 - AI Landing Zone Accelerator
13:16 - Scalability
14:16 - Wrap up

► Link References

Check out https://aka.ms/AIArchitecture

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#MicrosoftAI #AIAgents #AzureAI #EnterpriseAI

Developing games on Windows is faster when your tools work together. This session walks through an end-to-end game development workflow, from setting up a repeatable dev environment with Windows Terminal, WinGet, and GitHub Copilot, to reducing daily friction with PowerToys. Discover how integrated agents in Visual Studio accelerate build times, modernize compiler upgrades, and complement code editing with advanced C++ tools. From forking a GitHub project to running WinGet configurations and hitting F5 in Visual Studio, these experiences help you iterate faster and optimize smarter while keeping you in control. Join us to see how Windows and Visual Studio deliver secure, manageable, and AI-driven workflows for modern game development.

⌚ Chapters:
00:00 Welcome and Intros
01:15 Agenda
02:35 Zero-to-dev setup
03:30 Demo - WinGet
10:35 Supercharging your workflow
11:00 Demo - PowerToys
17:55 More PowerToys features
18:50 Your inner loop in Visual Studio 2026
19:05 What's new in Visual Studio 2026
21:55 Demo - GitHub Copilot build performance for Windows
26:15 Recap
26:55 Microsoft C++ (MSVC) Build Tools
28:16 GitHub Copilot App Modernization
29:50 Editing in Visual Studio
31:54 Demo - C++ code editing tools for GitHub Copilot
35:50 Recap
36:44 Debugging in Visual Studio
38:05 Demo - C++ Dynamic Debugging and Visual Studio Debugger Agent
44:00 Recap
47:14 In summary

🔗 Links:
GDC 2026: Windows Game Development with Visual Studio 2026 & GitHub Copilot: https://aka.ms/GDC2026WindowsVS
Unlock language-specific rich symbol context using new find_symbol tool:
https://aka.ms/cpp-code-editing
Learn more: https://aka.ms/dynamicdebugging
Docs: https://aka.ms/vcdd
Profiler Agent Docs: https://aka.ms/profileragentdocs

Dev home: https://aka.ms/windowsdev
Powertoys: http://aka.ms/powertoys
Windows terminal: http://aka.ms/terminal
Intelligent terminal (a new fork of Windows Terminal with added intelligence): https://aka.ms/intelligent-terminal

🎙️ Featuring: David Li, Hamza Usmani

#visualstudio #xbox #githubcopilot

What if designers didn’t just use coding tools but helped build them?

In this episode of Cozy AI Kitchen, Rohan Malpani (Principal Designer for Visual Studio & VS Code) walks through how AI is reshaping developer tools, from creating reusable “skills” in Visual Studio to building features with agents inside VS Code. We get into agents vs. skills, real workflows (not just vibe coding), and how teams are actually shipping production-ready AI-assisted code.

If you’re curious how AI is changing the way developers and designers collaborate, and what it really takes to go beyond prototypes, this one’s worth a watch.

Chapters:
00:00 Intro – Should designers build coding tools?
00:08 Welcome to Cozy AI Kitchen
00:18 Meet Rohan Malpani (Visual Studio & VS Code)
01:08 AI “Skills” in Visual Studio explained
02:15 Creating a skill with AI (live demo)
03:10 How skills work like reusable “recipes”
03:44 VS Code Agents Window overview
04:32 Agents vs. Skills (what’s the difference?)
05:44 Using agents to build developer tools
06:30 Designing with AI inside your own repo
07:03 Iterating on features with agents
08:01 How teams ensure code quality & security
09:02 Beyond vibe coding: real engineering workflows
10:18 AI-assisted development in production
11:01 Live iteration: improving the agents experience
12:01 Advice for designers & devs using AI

Speakers:
Rohan Malpani
https://www.linkedin.com/in/rohanmalpani/

John Maeda - Host, Cozy AI Kitchen
VP of Design and Artificial Intelligence, Microsoft
https://www.linkedin.com/in/johnmaeda/

🎯 Explore more Cozy AI Kitchen episodes
https://aka.ms/CAIK-YTPlaylist
🔔 Subscribe for more Microsoft Developer content