wedesoft

When programmers say "pleasant to read", they usually mean something which is of real economical value, i.e. the code is easy to understand and maintain (whether by a programmer or an AI).

On the one hand LLMs draw from a large pool of knowledge, on the other hand they are not (yet) living in the world in order to make new observations.

No worries. You can also instead provide integration of third party CI. Thanks for letting me know.

Will it have continuous integration or is it focused on just version control and issue tracking?

You can run Minecraft Java Edition on GNU/Linux.

"Switching between Borderless and Exclusive Fullscreen no longer requires restarting the game" Afaik GLFW does not support this. So maybe that is part of the motivation for switching? I use LWJGL3 as well and I think it is really an amazing library!

Maybe GPG-signing commits helps.

If you are trying out the Citation-X with X-Plane 12, I can really recommend the XChecklist plugin and the checklist file for the Citation-X. To help you with finding all the different controls, I created this interactive page.

That probably took a lot more tokens and iteration than normally invested in generating code.

A Clojure port of XinJingHao’s PPO implementation using libpython-clj2, PyTorch, and Quil. PPO is a reinforcement learning method which has become popular because it addresses the problem of stability. The PPO implementation is tested using the inverted pendulum problem.

Bad code is usually more costly once you are beyond 100 lines of code.

My Windows gaming graphics performance dropped by 40% after some update. I already was using Linux for everything else except gaming for many years. So I tried out Steam on Linux and I was quite amazed how many games run on Linux via Proton. Just check out protondb.com for compatibility reports.

I did a bit of scripting trying to automate the TDD cycle given a task description. The problem is, that the LLM tends to jump forward and submit a full implementation instead of a minimal change. I guess the problem is, that LLMs are trained on complete solutions instead of minimal steps.

Yes, the main function is the worst part of the code. Whenever I discover a pattern, I refactor it and put it in a module.

Yes, I forgot. Clojure multi methods are more generic in that the function computing the dispatch value can also be defined.

Good point. I definitely need to keep an eye on garbage collector pauses. I am using the new ZGC which supposedly has very short garbage pauses.

In the past I have done some rigid body physics in GNU Guile (see https://www.youtube.com/watch?v=zBq3kW2jVxs for example). Of course if you need to simulate many objects, you will hit performance problems sooner if you don't use C/C++/Rust. Also the developer of Jolt has solved quite difficult problems, so I was quite happy to use it instead of rolling my own.

I am aware of Neanderthal. I think it is more suitable for larger tensors and matrices. Will have to check out what ham-fisted is about.

I use a few macros for creating contexts (i.e. with-texture, with-stencil, with-scissors, with-tar). Also I have macros for rendering (onscreen-render, offscreen-render). However I try not to overuse macros.

That's a lot of features. Moon is on my TODO list though and eclipses would be nice as well.

Thanks.

Thanks. Yes, Malli is really nice. Unfortunately it doesn't let you decorate type-tagged methods.

Yes, space station docking is on my todo list.

Or you could use Clojure with the immutable data structures where you don't need to lock a mutex when accessing a data structure concurrently.

You can use two different fluids instead of water and air.

Implementing array operations basically requires macros and JIT compilation. I have implemented JIT compilation of tensor operations in Scheme using LLVM. Maybe I should redo it in Clojure, but I think, most programmers don't care enough, to leave the Python ecosystem. https://wedesoft.github.io/aiscm/operation.html