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Developer focused how-tos, use cases and solutions on Microsoft Azure
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Context-Driven Development: Agent Skills for Microsoft Foundry and Azure
Code will be generated, not written. Most enterprise AI workloads are net-new microservices. Modular, greenfield work. Perfect for coding agents. The catch? ...
Claude Code + Microsoft Foundry: Enterprise AI Coding Agent Setup
This guide covers setting up Claude Code CLI and VS Code extension with Microsoft Foundry, configuring CLAUDE.md for project context, integrating Spec Kit for s...
Visualizing GitHub Audit Log in Microsoft Defender
Key Observability Trends Around GitHub Security Modern enterprises are increasingly adopting DevSecOps practices, integrating security into every phase...
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...
Latest posts
Platform Engineering for the Agentic AI era
For the last decade, platform engineering has relied on explicit API interaction layers: CLIs, SDKs, pipelines, wrappers, and UI workflows that translate human intent into machine‑safe API calls. AI agents are now short‑circuiting much of that stack. By combining natural language understanding, reasoning, and direct access to API specifications and control schemas, agents can convert human intent directly into validated platform actions, often without a bespoke interaction layer in between. Nowhere is this shift more visible than in Infrastructure as Code (IaC) and pipeline workflows, where agents are increasi...
Measuring actual AI Impact for Engineering with Apache DevLake
If you want to skip the explain and get started super quick with adoption + impact insights, use gh-devlake to deploy a GitHub Copilot impact dashboard in a few CLI commands. So! You've rolled out GitHub Copilot to your engineering teams. You've got the built-in dashboards. You know how many seats are assigned, what the acceptance rates look like, which editors your teams prefer. Maybe you've even pulled the Copilot Metrics API and built some charts. But here's the question your VP of Engineering or CTO is actually asking: "Is GitHub Copilot making us ship faster? Are we more reliable? Is code review g...
The OS for Intelligence: How GitHub Bridges the Fragmented AI Landscape
We are currently living through the "fragmentation phase" of the AI revolution. If you’re a developer, you know the drill: You have Claude Code open for reasoning. You have ChatGPT open for logic checks. Then you drop into your terminal to actually build the thing—manually copy-pasting context between three different windows. We call this the "fragmentation tax." It kills momentum, breaks your flow, and frankly, it’s a waste of cognitive energy. For engineering leaders, it’s even worse. It’s a governance nightmare and a silent killer of velocity. GitHub’s answer isn't just another tool; it’s an Op...
Context-Driven Development: Agent Skills for Microsoft Foundry and Azure
Code will be generated, not written. Most enterprise AI workloads are net-new microservices. Modular, greenfield work. Perfect for coding agents. The catch? Out-of-the-box agents lack domain knowledge about your SDKs and patterns. But frontier LLMs are extraordinarily sample efficient. The patterns you need are already encoded in their latent space from pretraining. All you need is the right activation context. That is what skills do, and Agent Skills ships 126 of them for Azure and Microsoft Foundry development. New: Browse all skills, agents, and documentation at microsoft.github.io/skills. What's in Age...
The Realities of Application Modernization with Agentic AI (Early 2026)
How to read this article This article is a reflection based on hands-on experience and is written for engineers and technical leaders who are facing a new application modernization effort and want to build a realistic mental model before reaching for tools. If you are new to application modernization, I recommend reading the article end to end. The early sections focus on why modernization is hard in practice and which foundations matter before any technical decisions are made. If you are already familiar with the app modernization space and mainly interested in the role of agentic AI, you can skip the intro...
AI Coding Agents and Domain-Specific Languages: Challenges and Practical Mitigation Strategies
1. Introduction AI coding agents/assistants such as GitHub Copilot have become common in modern software engineering workflows. Their strengths—rapid pattern completion, context-aware suggestions, and the ability to learn style from local code—stem from broad training on large corpora of public, general-purpose code. They perform best when the languages, libraries, and idioms requested by developers align with patterns they have seen many times before. Domain-Specific Languages (DSLs) break this assumption. DSLs are deliberately narrow, domain-targeted languages with unique syntax rules, semantics, and ...
Locking Down MCP: Create a Private Registry on Azure API Center and Enforce It in GitHub Copilot And VS Code
Ever since MCP launched, every customer has asked the same thing: “How does a private MCP registry actually work, and how do we configure it for our enterprise?”. So today, on a snowy, freezing Friday in Zurich, I grabbed a coffe, opened the GitHub docs, dove into Azure API Center portal, and decided to write the blog I wish already existed.A few hours (and quite a few sighs) later, here I am. The docs are great but they definitely don’t cover all the tiny quirks, hidden settings, and errors you’ll hit along the way. What did the journey look like? This post is the guide I d...
Claude Code + Microsoft Foundry: Enterprise AI Coding Agent Setup
This guide covers setting up Claude Code CLI and VS Code extension with Microsoft Foundry, configuring CLAUDE.md for project context, integrating Spec Kit for structured development, and running Claude Code in GitHub Actions. Prerequisites Step 1: Deploy Claude Models in Foundry In Microsoft Foundry: Alternative: Model Router Model Router is a Foundry model that intelligently routes each prompt to the best underlying model based on query complexity, cost, and performance. Version supports Claude Haiku 4.5, Sonnet 4.5, and Opus 4.1 alongside GPT, DeepSeek, Llama, and Gro...
Visualizing GitHub Audit Log in Microsoft Defender
Key Observability Trends Around GitHub Security Modern enterprises are increasingly adopting DevSecOps practices, integrating security into every phase of the development lifecycle. Key observability trends include: Challenges in Displaying All Security in One Dashboard Despite GitHub’s robust security features, customers face several challenges: Why Visualizing GitHub Audit Logs in Defender Makes Sense Integrating GitHub audit logs into Microsoft Defender offers several advantages: Microsoft’s solution strategically aligns GitH...