All things Azure
Developer focused how-tos, use cases and solutions on Microsoft Azure
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Codex Azure OpenAI Integration: Fast & Secure Code Development
Introduction You can now enjoy the same Codex experience in CLI or VS Code with Azure OpenAI support. We've contributed the following five pull requests to mak...
How to develop AI Apps and Agents in Azure – A Visual Guide
As organizations explore new AI-powered experiences and automated workflows, there's a growing need to move beyond experiments and proofs-of-concept to producti...
How to subscribe for GitHub Copilot Business without GitHub Enterprise: A Step-by-Step Guide
Did you know that now you can subscribe to GitHub Copilot Business without GitHub Enterprise (GHE), which means you can get GitHub Copilot Business as a standal...
Latest posts
Automating Secure and Scalable AI Deployments on Azure with HashiCorp
While the promise of AI continues to generate momentum, many organizations face a familiar challenge: getting AI projects beyond the prototype phase. According to Gartner, only 30% of AI initiatives make it into production, and RAND reports that up to 80% fail to deliver expected outcomes. The problem isn’t model quality — it’s platform readiness. To deliver AI successfully, you need more than cloud infrastructure. You need a repeatable, secure, and governed platform built for modern, data-intensive workloads. The Shift: From Running AI in the Cloud to Building the Cloud for AI Deploying AI workloads in...
Announcing General Availability of GitHub Copilot for Azure—Now with Agent Mode
Unlocking a New DevOps Era GitHub Copilot for Azure was first introduced at Ignite 2024 as a public preview, empowering developers, IT operators, and DevOps practitioners to leverage natural language to provision, configure, and manage resources within their own Azure environments. Since then, many have used GitHub Copilot for Azure as an AI-powered developer assistant that transforms how they build and manage applications on Azure, directly from Visual Studio Code. Early adopters have shared overwhelming feedback on how it accelerates their Azure development. It flattens the learning curve and helps users st...
AI Genius Challenge: Flex your AI skills and beat the clock!
If you’ve been following along with the AI Genius Series, you already know we’ve been on a journey, one filled with learning, experimentation, and discovery. We’ve explored the power of Retrieval Augmented Generation (RAG), dived into Copilot deployment, and unlocked the potential of Azure’s AI ecosystem. But now, it’s time to take all that knowledge and put it into action. Now, after popular demand, I’m pleased to launch the AI Genius Challenge. A fast-paced, hands-on virtual hackathon designed to test your skills, stretch your thinking, and ignite your creativity from everything you have learned in the seri...
Accelerate AI Applications with Semantic Caching on Azure Managed Redis
In this blog, we will look at implementing the Semantic caching use case using Azure Managed Redis. Azure has been at the forefront of providing caching solutions for over a decade with the Azure Cache for Redis enterprise. This service empowered developers with a high-performance, scalable cache that significantly enhanced the responsiveness of their applications. Now, Azure has taken another significant step forward in this area with its latest offering, AMR, which is currently in public preview. AMR runs on the Redis enterprise stack which offers significant advantages over the community edition of Redis. AMR ...
Eclipse + GitHub Copilot = Lightspeed SAP ABAP Development
Introduction Did you catch the GitHub's recent announcement of ABAP support in GitHub Copilot for Eclipse? It is a significant step forward for SAP developers. This integration brings AI-powered code suggestions and chat functionalities directly into the Eclipse IDE, potentially revolutionizing ABAP development. Let's break down how it works, how to set it up, and what it means for enterprise SAP environments. Setup and Usage Setting up GitHub Copilot for ABAP in Eclipse is straightforward: I’ll walk you through the setup step by step in this article — and you can also refer to the...
Reinventing Legacy App Modernization: Crowdbotics’ AI-Native Platform on Azure
Author: Charath Ranganathan, CTO, Crowdbotics Modernizing legacy applications is one of the most daunting tasks facing enterprises today. These systems, often built decades ago using technologies like COBOL on mainframes, power critical business functions but are notoriously difficult, time-consuming, and expensive to update or replace. The process typically involves painstaking manual efforts to understand undocumented code, decipher complex interdependencies, and generate mountains of documentation before new requirements can even be drafted. Documenting these systems during a modernization project is furthe...
How to build Multi-agent AI Apps using Microsoft Azure
Understanding Multi-Agent Workflow Automation At its core, a multi-agent architecture is like a team of specialized experts working together on complex tasks. Instead of having a single AI agent trying to handle everything, multiple AI agents—each with specific roles and capabilities—collaborate to achieve common goals. Think of it as the difference between having one person juggle all responsibilities versus a well-coordinated team where each member excels at their particular role. Key Components of Multi-Agent Systems: 1. Specialized Agents 2. Communication Protocol 3...
Getting Started with Claude models on Azure Databricks
Introduction Following up on the exciting announcement about Anthropic's state-of-the-art models becoming available to Azure Databricks customers, this post provides a detailed, step-by-step guide on how you can start using Claude 3.7 Sonnet model directly within your Azure Databricks environment using Model Serving. We'll walk through deploying the necessary Azure Databricks workspace, finding the Claude 3.7 model endpoint, testing it in the Playground, and getting the code snippets needed to integrate it into your applications. Prerequisites: Step 1: Deploy a Premium Azure Databricks Workspace...
Visualize ROI of your GitHub Copilot Usage, Deploy it!
Deployment: Let's do it! All operations are performed in the VM Prerequisites everything is on-premises and free (except VM) The only thing you need is: Everything else is based on existing stuff, or based on open source software, no extra cost, for example: Docker For installation instructions, refer to Install Docker Engine. For Ubuntu 22.04, you can use the following command verify The following content is obtained, indicating ok Download source code Put all the work in the ...