Programming

In this episode, we'll cover what AI agents are, how they work, common agentic implementation patterns, and how agents manage their context window. Enjoy!

This episode explores building a minimal reactive framework using signals as a reactivity primitive. We'll look into implementing a simple component model, composing components, separating the view into static and dynamic parts, and implementing fine-grained reactivity.

In this episode, we'll explore a concept called Signal that has been getting a lot of traction in JavaScript over the past few years. I'll describe a simple implementation so you can understand the internals and then see how it relates to the traditional object-oriented design pattern observer.

Today in less than 20 minutes, we'll explore what maps are and how they work under the hood. We'll talk about the differences between treemaps, hash maps, and hash tables. We'll dig pretty in-depth...By the end of the episode, you'll understand how to implement hash tables using an array, hash function, and a linked list!

Today we'll look into static and dynamic systems. We'll discuss what does it mean for a programming language or a framework to be static or dynamic. In the second part of the podcast, we'll focus on some of the properties of static systems and how they can help in better compile-time optimizations, development experience, and more!