Reading Notes #713

This week’s collection explores the practical side of AI, focusing on governance in multi-model environments and the security advantages of robust sandboxing. I’ve also included some foundational perspectives on and organizational goals, along with a look into the history of one of my favorite tools, VS Code.

AI

Programming

by John Doerr 

That book has been on my to-read list for a very long time. As someone who worked at Microsoft using many OKRs, I was comfortable with the topic. Nevertheless, it was interesting to learn how other people use it in many different contexts.







Reading Notes #712

I’ve put together a few articles that caught my attention this week, ranging from .NET updates and Azure migration paths to the nuances of AI evaluation workflows. These pieces offer practical insights into the tools and design choices we encounter in our daily work.



Cloud

AI

  • Building Reproducible AI Evaluation Workflows with Docker Sandboxes (Karan Verma) - Wow! Very interesting open-source project that tries to help with the question: before comparing benchmark scores or choosing a judge model, can someone else reliably run the same workflow under comparable conditions? Definitely worth the read.

  • What is YOLO Mode? - Yolo mode is the most productive way to use AI. It is better for developer habits and the brain, but it also comes with some risks. This nice post provides clarity on the topic.

Programming

~frank

Reading Notes #711

This week’s collection covers everything from streamlined Azure deployment techniques to the practical realities of local versus cloud AI models. I have also gathered several helpful resources for .NET developers and some thoughts on maintaining sharp mental habits in an increasingly automated world.


Cloud

AI

Programming

DevOps

Open Source

~frank