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Spec-Driven Development: When the Spec Is Too Big
Spec-Driven Development: When the Spec Is Too Big

Spec-Driven Development: When the Spec Is Too Big

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I had a spec, I had GitHub Copilot Pro+! A new billing period with fresh credits has begun. So I started to refurbish my Expense Management system. In detail, I was building with a fresh spec that should rebuild the whole system in one run. And yes, that was the problem. Everything looked good. Copilot credits were melting away during implementation. Some hours later I had my first results. The Azure portal showed me what was there. Content Understanding analyzers:…

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Spec-Driven Development: The Methodology Behind the Magic
Spec-Driven Development: The Methodology Behind the Magic

Spec-Driven Development: The Methodology Behind the Magic

Most developers I know have been here. They type a detailed prompt into their AI agent. The output looks right. They run it, tweak a detail, run it again – and somewhere around the third attempt, the whole thing has quietly shifted into something else. The problem is not the AI. The problem is the approach. Spec-driven development changes that. Before a single file gets created, you define intent. You build a shared understanding for your business stakeholders, your architect,…

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Stop Coding. Start Building from Specs.
Stop Coding. Start Building from Specs.

Stop Coding. Start Building from Specs.

I haven’t written a line of code since January. Not because I couldn’t. I stopped because spec-driven development showed me I was spending time on the wrong part of the job. Today, it is easy to type “build me XYZ” and get code in seconds. I did that too. Sometimes the result looked great. Then I ran the same prompt again and got something different. Logic shifted. Edge cases disappeared. The output stopped being predictable. The turning point came when…

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Hey Code, Specify!

Hey Code, Specify!

I was deep into spec-driven development with GitHub’s Spec Kit. Writing detailed specifications. Describing what I wanted AI agents to build. And I was typing. A lot. My fingers became the bottleneck. Then I thought: why am I typing when I could be talking? I opened Copilot Chat and looked for a microphone. Nothing. Turns out there’s a small extension you need: “VS Code Speech for Copilot.” I installed it and the microphone appeared. But then I discovered something better. The…

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Building an AI Agent That Generates Test Data

Building an AI Agent That Generates Test Data

Recently, I was creating an agent with the goal to identify potential incidents in Teams community of practice channels. I started building this agent to find problems such as “I need help” and create ServiceNow incidents from its information. Testing it meant feeding realistic support cases into the system. But here’s the problem: real support data contains sensitive information. Project names. Client issues. Internal struggles. You can’t demo that publicly. You can’t even use it safely in testing. This isn’t…

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Using AI for Data Correction

Using AI for Data Correction

How do you usually use Generative AI? That’s a question I get asked quite often. Most of the time, my answer is something like this: “I use it to summarize texts. I also draft ideas together with the AI, and it helps me write content more efficiently.” But this is just one piece of the puzzle. In automation scenarios within the Power Platform, I also utilize AI for data correction. Today, I will explain how this process works. In detail,…

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Content Understanding from Power Platform

Content Understanding from Power Platform

In one of my last blog posts I introduced my new friend AI Foundry Content Understanding to you. Here I have explained in detail how you can set up Microsoft’s new AI service offering for your documents. Furthermore, I showed you how I deployed my document analyzer in Azure. As result of this exercise, I got an endpoint that I can now use in one of my use cases. In other words, now I can start working with my custom…

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Copilot Knowledge Sources – OneDrive

Copilot Knowledge Sources – OneDrive

Microsoft says adding knowledge to your Copilot is easy. You then open Copilot Studio and discover a lot of different options. But which should I choose for my data? Is uploading a file the right choice? Should I use Azure AI Search or better connecting a Dataverse table directly? Questions over question that I had as I opened Copilot Studio the first time. What is the right thing on my journey of better RAG for my Copilot Agents? In this…

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AI Foundry – Content Understanding Part 2

AI Foundry – Content Understanding Part 2

In my first blog post about AI Foundry Content Understanding, I have showed you my first impression of this new service offering. In detail, I have used a built-in template for extracting financial details of my travel expense documents. Furthermore, I added new fields to this schema to extract and generate additional information. This worked extremely good for my use case where I want to extract travel information from my passenger itineraries and invoices. This time I show you, how…

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AI Foundry – Content Understanding

AI Foundry – Content Understanding

Wow, what is this? AI Foundry have a new preview offering with the name Azure AI Content Understanding. Microsoft writes; Content Understanding aims to extract structured, meaningful insights from any type of unstructured data. This sounds to me like my well-known friend Azure AI Document Intelligence service. Let me check this out with a real business case that I presented at the ColorCloud conference in Hamburg. In my session “More time thanks to smart automation!” I have shown a Dataverse…

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