Kylie is writing about Javascript, GraphQl, open source, and more.


In this talk, I follow API development over the years as well as the fundamentals of GraphQL, all the while making a case for its use in API development.

For a clear cut guide of what is actually happening under the hood of a Query, GraphQL's [documentation on execution](https://graphql.org/learn/execution/) is a great and thorough walk through.

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## Seen At

**[UtahJS](https://conf.utahjs.com/) 2019** on September 20th


Looking at the history of best practices for API development and the timeline that got us to where we are today.

The Evolution of an API: A Case for GraphQL

Using Notion to codify internal systems as a living knowledge base at scale.

Building an Internal Resource Library in Notion

Taking a closer look at the urql browser dev tools and using them to better understand urql as a GraphQL client.

Demystifying urql Using the Dev Tools


Over the weekend, I decided to formally document all of my backpacking, camping, hiking, and climbing gear. I wanted to create a centralized tracker for a few reasons, the mo...

Using Notion Formulas to Calculate Pack Weight

Taking a closer look at how the TypeScript compiler works so I can better implement a testing corner case in an open source library.

Understanding the TypeScript Compiler

'If I already know React, how hard could it be to learn React Native?' is a question I've heard a lot as a React consultant. This talk aims to not only answer this question, but also identify whether you need a native app at all.

React to React Native: How Hard Could It Be?


I use Notion as a one-stop shop for a lot of my life's work. Between planning camping trips and remembering to stop by the post office, I have to write things down or I simpl...

How I Use Notion as a Personal Wiki

Evolution of an API: A Case for GraphQL

Taking a closer look at best practices for developing in TypeScript and then applying those practices to JavaScript.

How TypeScript Made Me a Better JavaScript Developer

Implementing machine learning on the command line using Node.js libraries. This talk highlights a few quick-start projects you can get started with on your own.

ML on the CL

Taking a closer look at modern applications of machine learning, and then discussing the how and why of JavaScript implementation of that technology.