One of the fun things about immersing myself in BoxLang these past few months is my expose to other products from Ortus. Most recently, I've been doing some contracting with a client that makes use of ColdBox, which for my non-CFML readers out there is probably the most well known, and probably most popular, framework for building enterprise web applications with ColdFusion. As part of that work, I've been integrating TestBox, a testing and mocking framework that works well with ColdBox, but also (somewhat recently, I think a month or so now), supports BoxLang as well. For the most part, "it just works", but as I was new to it, I did run into a few small issues I thought I'd share a simple walkthrough of how to get started.
What was my experience using GenAI tools to design my blog? Well, you're looking at it! As I mentioned last week, my new design came from one of my experiments using GenAI to help me design a new theme, but I wanted to share a bit more about the experience when I had time, and that time is now.
I've been using Algolia for my search on this blog for years and absolutely love the service. At a high level, Algolia is a hosted search service that lets you easily create search indexes (think of it as a search optimized version of your content) while also providing easy libraries to add a search UI to your page itself. If you type in the search bar on top and perform a search, you'll see this yourself. My site here is static, all simple flat files with no database, so a solution like Algolia is vital. I thought I'd take a look at integrating Algolia's REST APIs with BoxLang and was able to build a quick demo in less than an hour. Here's what I did.
Yeah, I'm not even going to try to comment on this past week. I can say I had two interviews, which I think went well, and I finished some demos I've been working for a while, so that's a positive. Outside of that, just want to not think too much about the state of things and focus on sharing awesome, nutritious links for you to enjoy.
A few weeks back, I blogged about analyzing comic books with gen ai, and honestly, it worked really darn well. I extracted the pages with Python, and send them to Google Gemini to create the summary. I was naturally curious to see if this could be done entirely on device, using Chrome's AI support. Here's what I found.
Ok, this post falls into the "I'll never actually use this again" category, which frankly, my normal readers know happens all the time, but it was a fun little diversion and a reminder of why I used to love math so much.
Want to read everything? Head over to my giant list of every single freaking post ever!.
