Join me as I share what I learn building Azure infrastructures, automation workflows and AI integrations — from real projects, not slides.
My third brain 22 tools and practices I use, trial, watch or dropped.
Explore →AI agents now generate enterprise-ready Bicep and Terraform from a paragraph. They optimise the resource and ignore the repo: lifecycles, deployment order, brownfield calls and the enforced conventions that keep a codebase alive for years.
I use AI every day, and I see it break things every day. Where companies slip: licences without enablement, shadow AI, pricing, output quality, judgement nobody trains any more and debt nobody can see. With checklists for leaders and engineering leads.
Where the EU AI Act stands in September 2026, how Switzerland regulates AI without an AI act, and when Swiss companies fall under EU law anyway. My research notes, with a checklist.
I wanted to share Bicep snippets on LinkedIn without the screenshot-caption-upload routine. So I push a file to GitHub, and n8n writes the caption, renders the code as an image and posts both. An experiment, not a production tool.
Every Bicep module in our repo carries its version in four files, and PR reviews kept missing mismatches. A GitHub Action and a Bash script now check all four on every pull request and block the merge when they disagree.
A failed Azure deployment tells you that it failed, not why. An Action Group webhook, one API call and an AI summary in n8n turn it into a Telegram message that names the caller, the cause and the fix.
