Episode 24 - AI Agents

The episode is inspired by research I conducted a few years ago in which I interviewed hundreds of other senior engineers and architects building web applications at scale.I begin by introducing the concept of micro frontends and discussing when to use them versus relying on more ...  Show more

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 explore foundational algorithms and data structures that every developer and computer science enthusiast should know. Covering everything from Binary Search Trees (BSTs) to advanced concepts like Dynamic Programming and Greedy Algorithms, this episode is packe ...  Show more

In this episode, Kyle does an overview of the intersection of graph theory and computational complexity theory. In complexity theory, we are about the runtime of an algorithm based on its input size. For many graph problems, the interesting questions we want to ask take longer an ...  Show more

Enjoy this special encore episode. A programming technique where the developer doesn't specify each step of the algorithm in code, but instead teaches the algorithm to learn from the experience. 

Today I am with David Kopec, author of Classic Computer Science Problems in Python, published by Manning Publications.

His book deepens your knowledge of problem solving techniques from the realm of computer science by challenging you with interesting and realistic scen ...