Episode 24 - AI Agents

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!

In this episode, we'll look at the very basics of type systems and their enforcement. We'll discuss strongly and weakly typed languages. After that, we'll dig into different enforcement strategies - runtime with dynamic typing and compile-time with static typing.

In this episode, we'll look at what data structures and algorithms JavaScript bundlers use. We'll talk about ECMAScript modules, strongly connected components, depth-first search, and more! Enjoy!

Today we'll talk about using dependency injection across paradigms! You'll understand what this pattern is all about and how to use it. During the episode, we'll touch on topics such as inversion of control, high-order functions, and testability.

Today we'll learn about memoization! Memoization is a practice that helps us improve the performance of our apps using caching. In the episode, we'll also discuss pure functions, caching strategies, and much more!

In this episode of the programming podcast, we'll discuss static analysis and code transformation. In particular, we'll look at the difference between compilers, linters, and formatters. By the end of the episode, you'll understand what tool you should use to improve your development experience and team processes.