Browsed by
Tag: Microsoft Foundry

Microsoft Foundry former know as Azure AI Studio is a development platform from Microsoft for AI solutions.

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

Comments 0 Comment

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:…

Read More Read More

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

Spec-Driven Development: The Methodology Behind the Magic

Comments 0 Comment

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,…

Read More Read More

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…

Read More Read More

Teams ServiceNow Integration with Copilot Studio Agents

Teams ServiceNow Integration with Copilot Studio Agents

Who doesn’t know such calls for help? “Can someone help me with Databricks? I can’t access my S3 bucket. Getting permission denied errors.” Just another Teams message. Another problem solved in minutes through quick collaboration. No ticket created. Then came the memo. Management wanted to shut down all support channels. Force everyone to use ServiceNow, our ITSM (IT Service Management) platform for tracking IT incidents and requests. Make compliance mandatory through restriction. I knew this would backfire. From my perspective, banning Teams…

Read More Read More

Goodbye Limits, Hello Microsoft Foundry

Goodbye Limits, Hello Microsoft Foundry

Recently I stumbled into an issue with my GitHub Copilot coding agent. Yes, correctly — I reached the premium request limit in my Visual Studio Code. And everybody knows, a throttling to an old LLM feels like driving an old timer. I’d been deep in spec-driven development using GitHub’s Spec Kit. This toolkit lets AI agents generate implementations from specifications. It helps you build high-quality software faster. Powerful. Efficient. Game-changing. But when you hit that limit? Everything changes. GitHub Copilot throttles…

Read More Read More

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…

Read More Read More

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…

Read More Read More

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…

Read More Read More

From Azure AI Foundry to Production

From Azure AI Foundry to Production

Azure AI Foundry former known as Azure AI Studio has seen significant improvements since I first began exploring this topic. Consequently, it took some time before I could complete my fourth blog post on Application Lifecycle Management (ALM) for AI applications. Today, I want to focus on the final stage of the ALM process. This means, I’ll be explaining how you can seamlessly deploy your AI solutions, developed in Azure AI Foundry, to production. In production, my goal is to…

Read More Read More

Testing my AI solution with Azure AI Studio

Testing my AI solution with Azure AI Studio

I began this journey into Application Lifecycle Management for AI applications by introducing ALM in AI Studio (Getting started with ALM in AI Studio). Moreover, I provided a brief overview of Azure AI Studio and the definition phase to you. Subsequently, we explored the Azure AI Studio Development Process in depth. I detailed how I developed my example solution. Today, I will proceed to discuss how I’m running a streamlined test process in Azure AI Studio for my AI solution as part…

Read More Read More