Showing archive results for 2026

Mar 9, 2026
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Announcing the Azure Skills Plugin

Chris Harris

Part 1 of the Azure Skills Plugin series Coding agents like GitHub Copilot and Claude Code are great at code, but getting your app to production on Azure is not just about writing code. Really, it is about making the right calls. Which service fits this app? Which SKU fits this workload? Should this be App Service, Container Apps, Functio...

All things Azure
Mar 5, 2026
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Platform Engineering for the Agentic AI era

Arnaud,
davidwright

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...

All things AzureGitHub CopilotAgents
Feb 26, 2026
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Measuring actual AI Impact for Engineering with Apache DevLake

Eldrick Wega

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...

All things AzureGitHub CopilotDeveloper Productivity
Feb 4, 2026
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The OS for Intelligence: How GitHub Bridges the Fragmented AI Landscape

Poornima Prasad

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...

Developer ProductivityAll things AzureGitHub Copilot
Jan 21, 2026
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Context-Driven Development: Agent Skills for Microsoft Foundry and Azure

Govind Kamtamneni

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 sp...

All things Azure
Jan 7, 2026
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The Realities of Application Modernization with Agentic AI (Early 2026)

jkordick

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. T...

AgentsThought leadershipApp Development