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AI agents are quickly becoming a core part of modern development workflows, and the GitHub Copilot SDK makes it surprisingly straightforward to build your own. Instead of relying on prompt engineering alone, the SDK lets you define structured tools, give your agent explicit capabilities, and execute real code through LLM‑driven reasoning. In my latest demo, I walk through the full process of creating an agent from scratch — setting up the project, defining the agent, building custom tools, and running everything locally. You’ll see how the SDK handles tool invocation, schema validation, and natural‑language responses, all while keeping your logic deterministic and maintainable. If you're exploring agentic workflows or want to understand how Copilot can power real execution paths, this walkthrough will give you a clear, practical starting point. 🎥 Watch the full step‑by‑step video here: 👉  This is just the beginning — once you understand the pattern, you can extend your agent with...

The GitHub Copilot SDK just dropped, and it’s a game-changer for developers. You can now build your own Copilot-style AI features directly inside your apps, tools, and workflows — no more waiting for GitHub to do it for you. In my latest video, I break down exactly what the SDK is, how it works, and why it’s the future of developer productivity.  🎥 Watch now: Introducing GitHub Copilot SDK — Step-by-Step Demo If you’re serious about AI + dev tools, this is the video to start with.

Every once in a while, a new AI tool appears that doesn’t just improve on what already exists — it completely changes your expectations. That’s exactly what happened when I tested Awaz AI , a voice agent designed to handle real phone calls with natural, human‑like conversation. I’ve tried many voice systems before, and most of them sound robotic, interrupt at the wrong time, or fall apart when you ask something unexpected. But Awaz AI surprised me from the very first “hello.” The pacing, the tone, the timing — everything felt unusually natural. It didn’t rush. It didn’t freeze. It didn’t sound scripted. It actually felt like a real conversation. To make sure I wasn’t imagining it, I recorded the entire interaction. No edits. No retakes. Just a raw, real phone call between me and the Awaz AI agent. If you’re curious about how far voice AI has come — or if you simply want to hear an AI that sounds more human than most customer service lines — you should watch this demo. It’s one of the ...

AI workflows were a great starting point. They helped us build early prototypes, automate simple tasks, and experiment with LLMs. But the future of AI is not workflows - it's agents. Agents are more flexible, more intelligent, and more aligned with how real‑world tasks work. If you want to understand this shift - and learn exactly how to convert your existing workflows into agents - my video will walk you through the entire process step by step. Watch it. Learn it. Build with it. Your future AI systems will thank you.

If you’ve been curious about how to take your AI agent workflows from development to deployment, this new tutorial is for you. In my latest video, I walk you through the process of building declarative & hosted agents inside Visual Studio Code and then show you how to publish them directly to Microsoft Foundry (Preview). 🎯 What you’ll learn in the video: - How to set up declarative agents in VS Code - How to set up hosted agents in VS Code - Hosting workflows for scalable deployment - Publishing agents seamlessly to Microsoft Foundry - Why Foundry is becoming the go-to platform for enterprise-ready AI agents Whether you’re a developer experimenting with agent-based systems or an AI enthusiast looking to understand Microsoft’s latest tools, this tutorial will give you a clear, step-by-step guide to get started. 👉 Watch the full video here 📌 Don’t forget to like, comment, and subscribe for more tutorials on building intelligent agents with Microsoft Foundry!

If you’ve been exploring Microsoft Foundry and wondering how to actually run those declarative agent workflows you keep hearing about… this video is for you. I break down exactly how to view, run, and test declarative workflows inside VS Code — no fluff, just practical steps. You’ll learn how to open workflow files, understand agent logic, and test everything with real-world examples. Whether you're building multi-agent systems or just curious about how Foundry works, this tutorial will help you get hands-on fast. 🎯 What’s inside the video: - How to open and explore workflows in VS Code - Running workflows with Microsoft Foundry - Testing agent logic and human-in-the-loop steps - Tips for debugging and refining your setup 👉 Watch now: Happy learning!

Why Foundry Is a Big Deal AI is moving fast, and Microsoft Foundry is one of the biggest updates you should know about. It’s not just another platform—it’s a new way to build AI agents that can actually do things. Instead of being limited to answering questions, these agents can plan, reason, connect to apps, and pull knowledge from your company’s data. If you’ve ever wished your chatbot could act more like a teammate, Foundry is where that shift happens. Agents: Smarter Than Assistants Traditional assistants were reactive—they waited for you to ask something. Foundry agents are proactive. They can: - Understand intent beyond keywords. - Plug into tools and apps. - Pull info from knowledge bases like Foundry IQ . - Execute tasks without constant supervision. Think of them as digital interns who never get tired and don’t need coffee breaks. Tools: Giving Agents Superpowers Tools are what make agents useful. They’re the “hands” that let agents interact with the world. With Foundry Tools...