Power Platform has become a core enterprise platform for building business applications, automation, and data solutions. But as organizations scale, a common challenge appears: How do you safely deploy Power Apps, Power Automate flows, Copilot Studio Agents, and Dataverse components across environments without breaking production? Manual solution imports do not work at enterprise scale. They
In this article, we will learn how to create self hosted agent in Azure DevOps step by step. An Azure DevOps self-hosted agent allows you to run CI/CD pipelines on your own infrastructure instead of relying on Microsoft-hosted build agents. This is especially important for Power Platform, SharePoint, and enterprise deployments where Microsoft-hosted parallelism is
Azure DevOps is widely used by development and IT teams to manage code, track work, and automate deployments. But before you can start using pipelines, repositories, or boards, you must create an Azure DevOps project. If you’re new to Azure DevOps, this step can feel small but it’s one of the most important decisions you’ll
Deploying Power Platform solutions across development, test, and production environments can be challenging without a standardized ALM approach. Power Platform pipelines provide a native and automated way to deploy solutions reliably across environments while following strong ALM practices. In this step-by-step guide, you will learn how to deploy Power Platform solutions using Power Platform pipelines,
Creating an organization in Azure DevOps is the first and most important step before working with projects, repositories, or pipelines. In this guide, you’ll learn how to create organization in Azure DevOps step by step, along with key tips and best practices for beginners in 2026. An Azure DevOps organization is not just an account.
Modern application delivery depends on speed, consistency, and reliability. Manual builds and deployments simply do not scale in today’s cloud-first and DevOps-driven environments. This is where the Azure DevOps CI/CD Pipeline plays a critical role. Microsoft Azure DevOps provides a mature, enterprise-ready platform for automating how applications are built, tested, and deployed. At the core
Microsoft Copilot Studio is changing how organizations build intelligent assistants on top of Microsoft 365 data. One of the most important capabilities in this platform is the ability to generate search query in Copilot Studio and perform search query in Copilot Studio using enterprise content. Instead of relying on static answers, Copilot Studio agents can
Microsoft Copilot Studio is evolving fast, and with it comes a feature that fundamentally changes how we test, measure, and trust AI responses. That feature is the Evaluation Tool in Copilot. If you have ever built a Copilot agent and wondered whether it consistently gives accurate, relevant, and grounded responses, you already know the problem.
Artificial Intelligence is rapidly transforming how professionals work. One of the most practical and high-impact ways to use AI today is through AI prompts for work productivity. From writing professional emails to summarizing meetings and making faster decisions, the right AI prompts can save hours every week for professionals working in software, IT, consulting, and
In this article, we’ll explore the Microsoft Copilot Studio Code Interpreter feature and see how it transforms AI agents into powerful execution engines. You’ll learn what the Code Interpreter is, how it works with Copilot Studio file processing, and how to configure and use it effectively. We’ll also demonstrate how Copilot Studio can generate and
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