ESPC 2024
Workshop: Get started with Power Platform on SharePoint - together with Robin Rosengruen.
Case Study: [CASE STUDY] AI at Work: A Real-Life Playbook - together with Nicki Borell.
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You are holding GitHub Copilot Wrong!
Most developers think that one can’t really use GitHub Copilot wrong. There is a chat interface that lets you also choose a model, so th...
You are holding GitHub Copilot Wrong!
Part 0 showed why constant prompting, re-prompting, and steering GitHub Copilot feels fragile. Not because Copilot is unreliable, but because ...
Building a Multi-Hierarchy Ticket Classification System (Because Keywords Aren't Enough)
Look, I love a good keyword-based system as much as the next developer. They’re fast, predictable, and when your user says “VPN,&r...
Secretless cross-tenant dataverse access
Client secrets are like hiding your house key under the mat; easy to grab and impossible to audit. Certificates are just slightly better, beca...
How Azure CLI handles your tokens and what you might be ignoring
Running az login feels like magic. A browser pops up, you pick an account, and from then on, everything just works. No more passwords, no more...
How Dev Proxy teaches you to make your apps more resilient
I added Microsoft Dev Proxy to my Mermaid → Dataverse converter, because I wanted to test how it handled rate limits and API errors. What I go...
Building Azure functions that never store secrets — ever
What if your function could hit Microsoft Graph with no client secrets, no certs, and no Key Vault entries? That is exactly what a Managed id...
Introducing Mermaid to Dataverse Converter
Why diagrams matter (and why they usually fail us) Entity-Relationship Diagrams (ERDs) are the universal shorthand for talking about data mode...
It’s OK to be seen trying
It’s OK to be seen trying Somewhere along the way, we started believing that you’re only allowed to speak after you’ve figured everything out....
Stuck in pilot - Part 1: no foundations, no future
“We just need to test the AI. We’ll figure out the data later.” That sentence has quietly killed more AI pilots than any model failure ever ...