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Getting Started with Microsoft Foundry models in VS Code

Microsoft Foundry is quickly becoming the engineering‑grade backbone for building, deploying, and operationalizing AI systems at scale. Unlike traditional “chatbot builders” or UI‑only agent platforms, Foundry is designed for real developers — people who care about versioning, reproducibility, security boundaries, and clean architecture. At its core, Foundry gives you a unified place to define models, agents, tools, workflows, and evaluations, all backed by Azure’s enterprise‑grade infrastructure. But the real power shows up when you bring Foundry into Visual Studio Code, where everything becomes code‑first, scriptable, automatable, and production‑ready. In this blog, we’ll walk through the setup steps to connect and use your Microsoft Foundry LLm models in VS Code.  Prerequistes: Download and install VS Code -  https://code.visualstudio.com Set up GitHub Copilot in VS Code -  https://code.visualstudio.com/docs/copilot/setup Create a Project for Microsoft Foundry -  ...
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Copilot - Create me a new Unified Developer Environment [UDE] in Power Platform Admin Center [PPAC]

UDE represents a shift toward treating F&O apps as part of the broader Dynamics 365 and Power Platform ecosystem, simplifying administration and improving productivity. But wait! What if we could take this one step further? What if deploying a UDE‑enabled environment didn’t require building templates in Power Platform Admin Center, exporting JSON, re‑importing configurations, and manually triggering deployments? What if you could simply ask Copilot: “ Deploy a new UDE‑enabled latest release F&O environment for me  in Australia with the name 'Patrick-Dev'. Keep all other settings same as my last sandbox. ” No templates. No PPAC wizard. No repetitive configuration steps. Just a conversational deployment pipeline. No Drama! Introduction Unified Developer Experience (UDE) in the Power Platform Admin Center (PPAC) is a modern approach for developing, testing, and deploying Dynamics 365 Finance and Operations (D365 F&O) applications. It replaces traditional, costly remote...
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Toolboxes in Microsoft Foundry

Microsoft has just introduced Toolboxes in MS Foundry - a managed, versioned bundle of curated tools that any MCP‑compatible agent can consume through a single endpoint, removing per‑agent wiring, centralizing auth, and enabling safer rollouts What is a Toolbox in MS Foundry Toolboxes in MS Foundry lets you define a reusable set of tools once (APIs, MCP servers, connectors, skills, flows), configure authentication centrally, and expose them through a single MCP‑compatible endpoint that agents discover and call at runtime. This removes duplicated integration code and secret sprawl across agents. Read more on toolboxes here . How do Toolboxes Work? Toolboxes are a named, versioned collection of tools you manage inside Microsoft Foundry and expose through a single MCP‑compatible endpoint. Each toolbox groups tools by namespace; tools can be APIs, MCP servers, connectors, skills, or flows. At runtime an agent points to the toolbox endpoint, discovers available tools, and invokes them. Fo...
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Code reviews with Github Copilot

GitHub Copilot can now review your code directly in VS Code, providing immediate feedback on uncommitted changes. It even adds comments similar to the feedback in a pull request! This local review capability allows developers to catch issues before they even reach version control, improving code quality from the start. And maybe catch those embarrassing typos! Prerequisites Before you can use GitHub Copilot for code reviews, you will need to have the following setup: A GitHub account. (sign up for free at github.com ) An active GitHub Copilot subscription (Individual, Business, or Enterprise). VS Code installed or Visual Studio 2022 17.6 or later installed. GitHub Copilot installed Refer to my previous blog Getting started with GitHub Copilot in VS Code  if you have not setup GitHub Copilot already. Code reviews with GitHub Copilot In VS Code, a fter you have made changes to files in a source controlled repository, o pen the source control panel and ensure there are uncommitted ch...
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Getting started with GitHub Copilot in VS Code

GitHub Copilot is an AI peer programming tool that helps you write code faster and smarter. It can suggest code completions,, generate code snippets, and even write entire functions for you. GitHub Copilot works with a variety of languages and frameworks, and it can learn from your own code and preferences. By installing GitHub Copilot in VS Code or Visual Studio, you can leverage the power of AI to enhance your coding experience and productivity. Prerequisites Before you can install GitHub Copilot in Visual Studio, you need to have the following: A GitHub account. (sign up for free at github.com ) An active GitHub Copilot subscription (Individual, Business, or Enterprise). VS Code installed or Visual Studio 2022 17.6 or later installed. Installation To install GitHub Copilot, open VS Code and go to the Extensions tab. Search for GitHub Copilot. When you install Copilot in Visual Studio Code, you get two extensions: GitHub Copilot - Provides inline coding suggestions as you type. ...
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The Hidden Cost of Free AI Tools

AI tools and agents are no longer optional. They’ve become embedded in how employees and developers work every day. The question is no longer if your teams will use them- it’s how safely they’ll do it. [Image reference: AI Tools: Navigating the New Professional Landscape by Vicki Reyzelman] The Risk of "Free" AI Tools Organizations must recognize the inherent dangers of allowing employees to rely on publicly available AI platforms such as ChatGPT or Google Gemini. Under the pressure of deadlines and workload, employees may inadvertently copy and paste confidential information into these tools. Proprietary strategies, source code, and intellectual property can be transmitted outside the organization’s secure environment. These disclosures occur silently, without alerts or oversight, leaving leadership unaware until the damage is irreversible. The risk of loss of control is Permanent. Once confidential information enters a public AI model, it cannot be retrieved or contained. C...
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Connect and Execute T-SQL from VS Code

The MSSQL Extension for Visual Studio Code is designed to empower developers by providing a seamless and modern database development experience. The goal is to make SQL development more productive and intuitive by integrating essential features such as schema management, query execution, and AI-powered assistance. Agents Inside VS Code One of the most underrated strengths of the MSSQL Extension is how it leverages agents directly within Visual Studio Code. This isn’t just about running queries—it’s about having intelligent helpers embedded in your workflow. Write Queries Faster: Agents can scaffold queries from natural language, explain stored procedures, and even suggest optimizations. Instead of memorizing syntax, you focus on intent, and the agent translates it into SQL. Spot Performance Bottlenecks: Agents don’t just execute queries—they help you understand them. With execution plan insights and AI-driven recommendations, you can identify bottlenecks like slow joins or missing ind...
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