Engineering blog
32 deep-dives on Azure, Intune, AI Automation & Cloud Engineering.
AI hallucinations aren't a bug you can patch — they're built into how generative AI works. Here's why they happen, what they cost, and the concrete techniques that reduce the risk.
OpenAI, Google, Anthropic, Microsoft, Meta, xAI, and Alibaba all shipped major AI releases in the last three months. Here's what changed, why it matters, and what to learn next.
What AI actually is, why every company is betting on it, how it's reshaping school and work, why it sometimes confidently makes things up, and how to build your own AI learning roadmap.
The AI tool you mastered last year is probably obsolete. Here's why fundamentals — not tools — are what actually compound in an AI-driven career.
From the February to July 2026 service releases, Intune changed faster than ever — licensing, AI agents, and security. Here's what happened and what's next.
From July 1, 2026, Microsoft bundles Intune Suite capabilities — Remote Help, Advanced Analytics, Plan 2, and Tunnel for MAM — directly into M365 E3 and E5 at no extra cost.
From image creation to code development, video to web design — discover the top AI tools available today, why you should learn them, and how to get started completely free.
AI is not replacing workers — people who use AI are replacing people who don't. Here's how AI tools change the way we work, which jobs are at risk, and where the real opportunities are.
Learn how to build a real AI-powered application that runs 100% on your own computer — no internet, no API keys, no subscription. Step-by-step Python and browser examples using Ollama, written for IT admins and non-developers alike.
AI tools can get expensive fast if you are not careful. This practical guide shows IT admins and teams how to use fewer tokens, choose the right model for each task, set hard spend caps, and manage licences — so you get maximum value from every penny you spend on AI.
Should you run AI on your own computer or use cloud services like ChatGPT? This complete guide explains online and offline AI models in plain language — covering privacy, cost, hardware, real-world use cases, and a practical guide to running AI locally for the first time.
Anthropic is moving faster than any AI lab in history. Claude 4 models, Claude Code, Model Context Protocol, Extended Thinking, and Computer Use are reshaping how enterprises build AI automation. Here is everything that matters and how to use it.
This is the story of Anthropic — the company founded by a group of researchers who believed they were building one of the most transformative and potentially dangerous technologies in history, and pressed forward anyway. The origin, evolution, and philosophy of Claude.
Brussels hosted Cybersec Europe 2026 last week — the continent's premier security event. Here are the dominant themes: AI-driven threats, Zero Trust maturity, NIS2/DORA compliance, digital sovereignty, and what they mean for your security roadmap.
Microsoft Ignite 2026 descended on Paris with a clear message: AI agents are here, security is non-negotiable, and the intelligent cloud era is in full production. Here is every announcement that matters for enterprise IT, cloud, and security teams.
A complete naming convention guide for enterprise IT environments — covering Intune, Entra ID, Active Directory, Conditional Access, Configuration Profiles, Security Policies, Service Accounts, and every object type an admin touches daily.
A complete enterprise guide to Conditional Access baseline policies — what to deploy, what to test before you flip the switch, what can go wrong, and why getting this wrong can lock out your entire organisation.
Cut through the Microsoft licensing maze. Understand exactly which license unlocks PIM, PAM, EPM, LAPS, and SSPR — and how P1 vs P2 determines what your organisation can actually do.
A complete guide to Windows Autopilot — every deployment mode explained, the full provisioning flow step by step, and the enterprise baseline every organisation should build on top of it.
Microsoft Copilot is everywhere in the Microsoft 365 ecosystem now. But as an IT admin, you need to know what it genuinely helps with, where it falls short, and how to start using it practically — without the marketing hype.
Every Monday morning our team needed a full compliance report from Intune. I got tired of doing it manually, so I automated the whole thing with PowerShell and Microsoft Graph API. Here is exactly how I did it.
Microsoft Intune is the backbone of modern endpoint management. This guide explains how it works, how devices get enrolled, how compliance is enforced, and how it connects to Azure AD — with real-world examples from production environments.
Stop writing AI prompts from scratch every time. These 10 ready-to-use prompts cover the most common IT admin tasks — from writing PowerShell scripts and troubleshooting Azure errors to drafting incident reports and explaining policies to non-technical stakeholders.
Three major AI tools, one IT admin, and months of real testing. This is an honest comparison of ChatGPT, Google Gemini, and Microsoft Copilot for the tasks IT professionals actually do — scripting, troubleshooting, documentation, and more.
Most people ask ChatGPT to write PowerShell the wrong way and get generic, untested code. This guide shows the exact prompt structure I use to get production-quality scripts first time — including the four elements that make the difference.
A system prompt is the single biggest upgrade you can make to your AI setup. It tells the AI who it is, how to behave, and what to focus on — before you even ask a question. Here is how to write one that transforms your results.
Never studied computers? No problem. This guide explains Artificial Intelligence, Generative AI, and ChatGPT in plain everyday language — with real-life examples anyone can understand, and a clear step-by-step path to start learning AI from scratch.
A practical guide to configuring S3 lifecycle rules that automatically transition objects between storage classes, with real cost analysis and Terraform examples.
Move beyond toy demos to production-ready LLM integration: structured outputs, few-shot prompting, prompt chaining, cost control, and evaluation frameworks that actually work.
Deploy a production-ready Azure Kubernetes Service cluster with autoscaling, managed identity, private endpoints, and proper observability — lessons from running AKS at scale.
Six TypeScript patterns that solve real production problems: branded types, discriminated unions, builder patterns, and more — with the reasoning behind each one.
Build a reusable GitHub Actions workflow system with matrix builds, caching strategies, environment approvals, and security scanning — without copy-pasting YAML into every repo.
