Can AI really help you 3D print a bun from a photo? I decided to find out.

A practical guide to automating Azure DevOps Work Item updates using Python and Azure Pipelines. This post explores hosting options, AI-assisted coding, and the trade-offs of different authentication methods. It highlights a lightweight, maintainable solution for personal productivity and reflects on the evolving role of developers in an AI-driven workflow.

In this post, I share a simple Python script to load an Azure DevOps (AzDo) wiki into memory, including the markdown content and real URLs of the pages. While the script lacks error handling and doesn’t read images or consider page relationships, it uses DefaultAzureCredential for easier cloud integration. Check out the resources for more details on the Azure DevOps REST API.

Containers are awesome not only for hosting apps, but also for local development. In this post I am just braindumping my notes from my recent labs. I have a couple of use cases, completely independent from each other.

• Hugo Blog Authoring
• Vite App Generation and Development
• Minecraft Server on a Raspberry Pi
• Dev Container and Github Codespaces

Podman

I am running podman instead of docker. I am not choosing it for a particular reason, it’s more out of curiosity, but if you want to dig deeper in the comparison between those two, I would recommend this blog post:

Learn how to leverage Azure CLI for automating tasks and managing API tokens. This guide covers using DefaultAzureCredential for seamless authentication without secrets, managing Microsoft Graph permissions, and generating Bearer tokens for custom APIs. Explore examples for refreshing tokens, accessing Azure DevOps API, and more. Perfect for developers aiming to streamline workflows and enhance automation with Azure CLI.