Handheld, or best on the lap. Has some nice zoom and scroll functionality.

Looks interesting, but uncomfortable to me. Could use at least some https://en.wikipedia.org/wiki/Sugru or similar.

While I like wired input while it's on the desk, I'd rather have that wireless when handheld free in the air, or on lap.

Because then the cable is more likely to be a hassle, or leading to restricted movement to avoid that hassle.

Using whisper.cpp's stream build I used a few keywords to decide when to send what data to chatGPT which is then written back to your terminal. Crazy with the $150 per Interview web application solutions I saw in the past.

It's as simple to use as running a build and run command.

After running a command in the terminal, I often find myself needing to run the same command again, without wanting or being able to easily re-type the command or use the arrow keys (think mobile). This post contains ZSH scripting that keeps track of the last non-empty ZSH command prompt/buffer and runs it whenever I send a few empty lines by pressing the enter key 2 times in a row.

Yes, I know we should all be good enough to not need to ever use console.log statements, or to even iterate for that matter but sometimes I find myself tired and working on a project and just want to double check my data structure is in the correct state. If I use console.log I risk the chance of forgetting that line of code and submitting it to LeetCode which will cause a failure. Using this comment based approach makes logging easier and is "LeetCode safe" in that no console.log statements will ever be executed.

In this blog post, I show how I created a preprocessor that takes any line starting with “// log -” and creates a temporary intermediary file where those lines are replaced with console.log statements to print any expressions following “// log -”. This approach is useful in several ways. It’s easier than using console.log directly, and when run without using the preprocessor, these log lines are simply ignored. The entire setup is straightforward, utilizing a Node.js environment variable/option to run the preprocessor.

Previously, I used a custom bash script to compile repository files into a single context file, but Zed AI’s implementation is far superior, offering a more streamlined and effective solution. But it never hurts to have an alternative method laying around. Like this little shell script..

This is the route I would usually prefer. However I was very happy I experimented with Bevy though just to see how powerful the type system and dependency injection ( https://promethia-27.github.io/dependency_injection_like_bev... ) in Rust can be.

It opened my eyes to a new style of game development and a new way to think about dependency injection and types.

I have always thought that a majority of the hardest software engineering problems relate in some way to gaming and when I see solutions like this it makes me think I am right.

Thanks tho! I'll def be checking that out.

I made a little proof of concept that used whisper cpp and ChatGPT to take “command” requests and generate Apple scripts which I could then run in OS X

It actually works somewhat well. I think with some more work and thought, something like this, could actually be useful.

Just saw this was for linux and Windows only

Will you consider contributing to Voxos? I don't have a Mac on hand, otherwise I would take a look at supporting it myself. I know someone's already opened an issue on the repo about it.

Just some calming awesomeness?

Reminds me of The Expanse when the DJ makes music from Eros