This category collects all msnugget posts related to coding and developer focused implementation patterns in the Microsoft cloud.
You will find practical guidance on integrating AI into coding workflows, using AI tools such as Copilot agents and Model Context Protocol servers, as well as concrete examples for PowerShell scripting, API integration and automation tasks.
Each post shows code level details and explains how to drive productivity, extend tools or anchor AI capabilities into real engineering and administrative use cases.
The Problem Microsoft Foundry now hosts 11,000+ AI models from OpenAI, Anthropic, Meta, Mistral, DeepSeek, and more. With that many options, choosing the right model for your use case feels overwhelming. Quality, safety, cost, throughput – how do you compare…
The Problem:You’ve built MCP tools for your AI agents, but now you need to host them somewhere secure, scalable, and enterprise-ready. Running a server 24/7 just for occasional agent calls feels wasteful. The Nugget:Azure Functions now has a native MCP…
The Problem:Your backlog is full of “boring but necessary” tasks – bug fixes, documentation updates, test coverage, refactoring. You know what needs to be done, but there’s never enough time. The Nugget:GitHub Copilot now has a Coding Agent – an…