Most my fun has been on the non-tech side. To get a break from the computer last year, I ran the length of Japan (around 3,447 km). And now I've been helping my partner edit the videos and stick them on YouTube:
On the tech side: I've spent the past few months working on little projects mostly coded via LLMs. Used it to build my own little AI agent in python attempting to keep it stdlib-only, and a little blog engine with MFA. Things I would never have previously been able to do as a sysadmin/infrastructure but not developer. It's been an interesting learning experience, but have spent months not getting anything to a fit state to share with the world.
Standard G-code is brittle and lacks basic programming ergonomics. I built Bellerophon, a DSL with a decoupled firmware adapter architecture, so the .bph source stays universal while the compiler handles targeted translation to Klipper, Marlin, or RepRap.
Lately I used it to generate print patterns with math that you wouldn't get from a slicer, which was fun. Right now my biggest hurdle is the compiler choking on large compiled outputs. School's taken most of my time, but I'm moving the application off browser localStorage onto a proper JSON persistence layer this month. I do hope to add more features in the future.
I am curious about what Rust-based extensions I can add next to my custom machine learning programming language.
> https://github.com/sw-ml-study/demo-extensions
shows my first attempt at an extension, desktop graphics. README shows a Conway's Life "Glider" on an interactive view of a 3D torus (and other desktop examples).
The underlying language is implemented in Rust, and supports running in a browser via WASM, but the language itself is an array programming language I created to help me visualize my study of ML. (This is my non-Python response to Jupyter notebooks and Google Colab)
Then I wanted to visualize ML-related Math concepts so I added some demo repos.
And then I added language features to make it a more general purpose application development language, with libraries as a way to share code. So I added I/O, functional programming features, etc. and related demos. Dogfooding!
And more recently the dynamic Rust extension mechanism to add things that cannot be written easily in the array language itself (or for features that would clutter the language).
Maybe I can add a networking extension or an infinite precision math library.
So my curiosity is around what belongs in the base language and what belongs in optional dynamic extensions.
Working on Chatter https://github.com/Sphyrna-029/Chatter. A self hosted Discord alternative for small to medium sized communities. Live chat, voice, screen share, video call, customizable profiles, and comprehensive admin panel. Too many other features to list here. Check it out!
I've been slowly working on https://github.com/CanineHQ/canine for about 2 years now. Basically a self hosted, FOSS that turns a Kubernetes cluster into something as easy to use as Heroku.
It was a pain point from a start up I cofounded before where we needed Kubernetes flexibility but developers hated using it. I figured there was no reason why it had to be hard to use and thus Canine was born.
I've been interested in seamless LLM routing for faster and more stable inference. I just launched https://www.tesseract.click with that goal. It's a simple lightweight SaaS to help manage your third-party LLM providers and balance speed, stability, and cost.
Most my fun has been on the non-tech side. To get a break from the computer last year, I ran the length of Japan (around 3,447 km). And now I've been helping my partner edit the videos and stick them on YouTube:
https://www.youtube.com/watch?v=50oQQThXWnc&list=PLVFWiVG-hZ...
On the tech side: I've spent the past few months working on little projects mostly coded via LLMs. Used it to build my own little AI agent in python attempting to keep it stdlib-only, and a little blog engine with MFA. Things I would never have previously been able to do as a sysadmin/infrastructure but not developer. It's been an interesting learning experience, but have spent months not getting anything to a fit state to share with the world.
Standard G-code is brittle and lacks basic programming ergonomics. I built Bellerophon, a DSL with a decoupled firmware adapter architecture, so the .bph source stays universal while the compiler handles targeted translation to Klipper, Marlin, or RepRap.
Lately I used it to generate print patterns with math that you wouldn't get from a slicer, which was fun. Right now my biggest hurdle is the compiler choking on large compiled outputs. School's taken most of my time, but I'm moving the application off browser localStorage onto a proper JSON persistence layer this month. I do hope to add more features in the future.
If anyone wants to take a look and critique: https://github.com/Disla-Novo/Dimidium_Bellerophon
I am curious about what Rust-based extensions I can add next to my custom machine learning programming language.
> https://github.com/sw-ml-study/demo-extensions shows my first attempt at an extension, desktop graphics. README shows a Conway's Life "Glider" on an interactive view of a 3D torus (and other desktop examples).
The underlying language is implemented in Rust, and supports running in a browser via WASM, but the language itself is an array programming language I created to help me visualize my study of ML. (This is my non-Python response to Jupyter notebooks and Google Colab)
Then I wanted to visualize ML-related Math concepts so I added some demo repos.
And then I added language features to make it a more general purpose application development language, with libraries as a way to share code. So I added I/O, functional programming features, etc. and related demos. Dogfooding!
And more recently the dynamic Rust extension mechanism to add things that cannot be written easily in the array language itself (or for features that would clutter the language).
Maybe I can add a networking extension or an infinite precision math library.
So my curiosity is around what belongs in the base language and what belongs in optional dynamic extensions.
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Working on Chatter https://github.com/Sphyrna-029/Chatter. A self hosted Discord alternative for small to medium sized communities. Live chat, voice, screen share, video call, customizable profiles, and comprehensive admin panel. Too many other features to list here. Check it out!
I've been slowly working on https://github.com/CanineHQ/canine for about 2 years now. Basically a self hosted, FOSS that turns a Kubernetes cluster into something as easy to use as Heroku.
It was a pain point from a start up I cofounded before where we needed Kubernetes flexibility but developers hated using it. I figured there was no reason why it had to be hard to use and thus Canine was born.
I've been interested in seamless LLM routing for faster and more stable inference. I just launched https://www.tesseract.click with that goal. It's a simple lightweight SaaS to help manage your third-party LLM providers and balance speed, stability, and cost.
Just added a new theme to my TUI file manager Gusco https://gitlab.com/intestinate/gusco
Here are a few things I'm curious about: Is direct manipulation of files and the file system becoming abstract for the younger generation?
Are Windows/Mac users no longer using file managers?
Is File Explorer/Finder good enough, even for a fairly technical crowd?