
Hosted by Dave Kimura · EN

Easter Eggs are often ways that developers can have fun by hiding little gems in the code base or provide additional fun without affecting the function of the application. In this episode, we'll explore some of the little easter eggs in the Rails code base.

In this episode, we look at how we can modify our application from a performance aspect to increase our job security. We'll slow down our application to a still usable level, but then swoop in months later and become the hero.

In this episode, we look at a few different ways of improving the speed of a page. There are many paths to take. Some of them leaves a lot of optimizations on the table, whereas others are premature and adds complexity.

In this episode, we look at how to use Claude Code to assist us in developing Rails applications. This is not about vibe coding, but using tools to assist our development efforts.

In this episode, we'll go from a fresh Rails 8 application and a newly provisioned Raspberry Pi to deploying the application on the PI. We'll also set up a domain to point to this application and put in place geo restrictions to help prevent unwanted access.

In this episode, we look deploying Fizzy to a server and look at some of the notable practices found in the code.

In this episode, we look at creating a failover mechanism for API requests. This can be a handy trick in situations where you want to add fault tolerance to an API request. We'll use the example of the Ollama Cloud as a failover to a locally hosted instance of Ollama.

Omarchy is an omakase distribution based on Arch Linux and the tiling window manager Hyprland. It ships with just about everything a modern software developer needs to be productive immediately.

I haven't used RubyMine in several years, but a recent announcement from JetBrains have now opened up access for free with non-commercial products. In this episode, I'm taking a fresh look at RubyMine after years of not using it.

Model Context Protocol (MCP) is an API interface for your applications that are formatted in a way that machine learning platforms can interact with them. They can be used to generate AI insights, perform tasks based on user input or other things.