Monocle VS qwik

Without concurrency, using a Ref doesn't buy you anything over just using a var. If you want the benefits of immutability with an API that resembles mutability, you have to use something like Monocle.

A very popular Scala optics library is also called Monocle. I’ve been a happy user for a few years:

https://github.com/optics-dev/Monocle

See example https://www.optics.dev/Monocle/

We always have work to do, for example to define scalfix rules to automate the migration https://github.com/optics-dev/Monocle/issues/1001

Similarly to Promises/A+, this effort focuses on aligning the JavaScript ecosystem. If this alignment is successful, then a standard could emerge, based on that experience. Several framework authors are collaborating here on a common model which could back their reactivity core. The current draft is based on design input from the authors/maintainers of Angular, Bubble, Ember, FAST, MobX, Preact, Qwik, RxJS, Solid, Starbeam, Svelte, Vue, Wiz, and more…

Each app’s front end is built with Qwik and uses Tailwind for styling. The server-side is powered by Qwik City (Qwik’s official meta-framework) and runs on Node.js hosted on a shared Linode VPS. The apps also use PM2 for process management and Caddy as a reverse proxy and SSL provisioner. The data is stored in a PostgreSQL database that also runs on a shared Linode VPS. The apps interact with the database using Drizzle, an Object-Relational Mapper (ORM) for JavaScript. The entire infrastructure for both apps is managed with Terraform using the Terraform Linode provider, which was new to me, but made provisioning and destroying infrastructure really fast and easy (once I learned how it all worked).

If you want to see the framework that does it right, check out Qwik.

Incredibly small JS / CSS bundles. Only loads what it needs.

https://qwik.dev/

So here at Builder.io, my first task was to ensure that we migrated our site from Next.js to Qwik with a 100% pixel match. We aimed to utilize the power of Qwik to enhance our site's performance to unprecedented levels.

That was the last straw; cumulatively, I had spent more time looking for something to do than actually doing it. But I really wanted to contribute! So a few more months went by, until one day I met an Italian open source maintainer and long-time speaker, Giorgio Boa, who by the way was a guest on our podcast Continuous Delivery, and asked him for advice, saying that I wanted to be part of the OS world. He said he was working on a small library of Qwik components and could help me if I wanted. I gladly accepted, and we found an issue that seemed pretty straightforward. A few days after our conversation, I followed the little README guide to install everything required, and...nothing worked. So, after a few bad words, a lot of doubt about my skills as an engineer, and self pep talks to overcome my shyness about asking for help, I contacted Giorgio again. Even with his help, at first we had some trouble figuring out what was going wrong, but in the end I finally had a working setup.

In the previous post, we got AI generated jokes into our Qwik application from OpenAI API. It worked, but the user experience suffered because we had to wait until the API completed the entire response before updating the client.

In this series, we’ll learn how to integrate OpenAI‘s AI services into an application built with Qwik, a JavaScript framework focused on the concept of resumability (this will be relevant to understand later).