Tag: artificial-intelligence

Microsoft move to unify search and generative AI for secure, reliable, and actionable user experiences.

Microsoft’s recent announcements at Copilot Sessions have signalled a notable shift in how artificial intelligence and search capabilities are converging. The focus is clear: centring technology around people, emphasising trust, transparency, and relevance. In my view, this marks an important milestone in the evolution of enterprise search and generative AI—where clarity of sources, user control,... Continue Reading →

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Episode 25: Cloud Security, Vibe Coding & WorkIQ – Separating Real Innovation from Hype in the Microsoft Cloud

Welcome to the companion blog for episode 25 of Cloudy with a Chance of Insights. In this week’s lively discussion, your hosts Richard Hogan, Cyrus Irandoust, and David Rowley dive headlong into the rapidly evolving world of Microsoft Cloud. With so many announcements, updates, and new features, it can be tough to know what’s genuinely... Continue Reading →

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Conversational Container Management: Copilot and VS Code Transform Developer Productivity

Managing containers has long been an exercise in juggling command-line instructions, deciphering logs, and switching contexts. The recent update to the Visual Studio Code (VS Code) Container Tools extension marks a significant step forward, integrating Copilot directly into the developer workflow. This move reshapes how developers interact with containers, allowing for a more intuitive, conversational... Continue Reading →

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Making AI-Assisted Azure Development Reliable: The Azure Schema MCP Server

Let’s talk about a problem that anyone building Azure applications with GitHub Copilot (or any AI assistant, really) will have hit at some point. You ask Copilot for a KQL query or an API call, and it obligingly spits out code that looks plausible. Unfortunately, it’s often wrong on the details—column names, field names, schema... Continue Reading →

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Adventures in Vibe Coding: Building Apps and Tools Without Writing a Single Line of Code Introduction

For the past month, I’ve been running an experiment: could I build multiple full-stack applications and supporting tools—without writing any code myself? Not a single line. Instead, I relied on natural language instructions, documented protocols, and a conversational workflow with my AI assistant. The result? Two apps, two MCP servers, and a mountain of lessons... Continue Reading →

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