Olamide Àdìó Olanrewaju

Like Docker, Kubernetes is one of those words I see being thrown around, and I've always been curious about it. Which is one of the reasons why I decided to do Machine Learning Zoomcamp, because of the introduction to Kubernetes the course offers. So, What is Kubernetes? From my current understanding, Kubernetes is used for scaling. In this context, for scaling machine learning models.

So, this week on ML Zoomcamp, we're to learn how to deploy a machine learning Model. Previously in the Zoomcamp, I've had issues concentrating when watching the video lectures. I generally do not "enjoy" video tutorials that much. So this time, I decided to read the notes on the repository and it was a breeze. A much better experience. Maybe I should have been doing this all this while. I guess this is why the idiom is "Read the Docs" as opposed to "Watch the tutorial". Anyways, so back to deployment.

So, there's a lot of talk about agentic coding, working with AI agents, Claude Code, etc. While all these seems exciting, what I've not seen are how to guides on actually writing code with AI agents. Telling Claude "Build me a web app that is an Uber but for smartphones" is a bad way to use AI Agents. I have my own way of using AI Agents that I've gained from my own personal experiences so far.