A script which will find random pictures of anyone in the family from the Immich database, resize them and add metadata on them like where they were taken and when and put them on the TV to show as kind of a screen saver when we’re at home.

I like this Facebook feature which shows you “Today 10 years ago”, Immich, does have it in it’s UI too and perhaps I will mix in those pictures also to show on TV.

Just another game engine 🤷

Getting an update out for my app, Shosetsu.

Not exactly programming, in fact sort of took me out of my foray into python.

My mesh wifi routers shat the bed after a decade so I got new routers and have been configuring my network. I’m almost done then back to my python project.

I’m in the process writing my own version of webscript.io, an old service that died back in 2017. It was a dead simple service that would run a Lua script for each HTTP request that came in to a URL. It sounds pretty trivial, but it was remarkably useful for hacking together little scripts for things like watching webpages for changes, little custom APIs for DIY IoT devices, translating from one API to another, and other simple stuff like that.

I’ve got enough of it built that I’ve been able to make a few actually useful things with it already. A few different job posting website scrapers were the first thing I made. I also made a little script that queries a live traffic api and sends my wife an estimated drive time for her commute home. The plan with that one is to watch the drive time as it’s getting closer to the end of the day and if it starts spiking earlier/worse than normal, it can email her letting her know she should leave early if she can.

I’m working on a commandline application in spirit of tools like grep and jq. It’s to filter and edit RetroArch Playlist files in JSON format with file extension .lpl. The program is written in Rust and has many options and features that exceed the simple JSON parsing of jq in example.

All of this is a learning process for me about the Rust language, JSON and RetroArch Playlist format and how the offline Ai tools and models on such low hardware stacks up in real world. I primarily used it to ask occasionally questions, such as what option name it would recommend, or what function description would be good, sometimes asked what it is thinking of a function implementation, or how to do a certain thing in Rust. I look at the code and its reasoning to understand it and if its an improvement. This was incredible helpful to me in learning more and even finding and eliminating bugs. Especially because I was 6 weeks offline and a few weeks after that period.

I also used the Ai to write about 260 unit tests for functions. Off course I checked every single test, reworked it if necesseray. It helped me to find bugs, but also introduced nasty bugs. So using Ai is dangerous, especially beceause It solves problems you start trusting it more. This was an important lesson for me.

I’m currently almost done and write the README and soon will be uploaded on Github and crates.io.

Been hacking away for quite a while at basically a build tool/framework for Rust, which picks up where Cargo leaves things. So, it’s really just a set of libraries for now, which you can use while writing your build scripts in Rust, to help with stuff like putting together a distribution archive, caching intermediate results or handling the automatic installation of CLIs you use in your scripts.

Definitely has been an experience to build this. It feels like a magnitude more work to find generic solutions for this stuff, compared to just throwing it down for a single codebase.
But it has also been rewarding, seeing builds becoming more robust and quicker in the other projects that I’m definitely also still developing and not just using as a testbed for my build tooling. 😅

Working on my game that I plan to release on Steam by the middle of October if all goes well, which has been my last 6 months or so. Still lots to do, but the code is tight without a single bug at this point so happy times there. haha

How well AI can trade crypto and, if possible other things. Right now it’s just in the exploration phase to understand what’s necessary, which language to use, what hardware is necessary, previous art, and so on.

I’d like to put a part of my salary into green, European investments and haven’t found any ETFs that do so. There must be something out there but it’s being made hard to find and I’m not going to spend the little time I have investigating every single green european company to find out how to invest in them.

Been writing a NES emulator for a while. Works well enough but there is a new automated test available. My emulator does ok, but not good enough. Going to try and improve things.

• https://gitlab.com/coreyoconnor/wes
• https://github.com/100thCoin/AccuracyCoin

Working on my programming language, and improving some blog posts of mine. :-)

I an issue submitted on GitHub recently that I needed to investigate, so I finally got around to installing Rider and getting setup for .NET development on Linux. And I realized I have a LOT of acclimating to do. So I decided to make a Sudoku solver in Avalonia to force myself through the pain.

I’m writing a script that finds filenames in a directory that only differ in case. Since I’m working with filesystems that are case insensitive sometimes, this is a pain to deal with and I’d rather rename the few files. But first I’ll have to find them 😉. Now, there might be some tool already that does this, but I enjoy the challenge.

Pivoting away from number theory and trying to learn molecular dynamics. I still have a large number theory research library that I can work on, but now I need to find a research topic in MD.

Foundational steps of a tool that reads and interacts with the menus of Madden 08 for the PC. Starting with the screen reader to read on screen text. I’ve been working on it for months and so far I have no text reading and a few dozen lines of the most dogshit C# code even your nightmares couldn’t recreate.

I’m in so far over my head I can no longer even really visualize what I’m doing.