Readit NewsUses a mix of old economic stats paired with German citizens journals and public newspapers to tell the story of how hyperinflation in Germany started and then ended, but not before creating so much distrust in society that the seeds were sewn for the country to take a militaristic stance to fixing its problems. Highly recommend the book above.
"In conclusion – existing wafer inventory provides a buffer as mining operations restart, major companies are already using synthetic methods to produce semiconductor-grade quartz crucibles, and there are other sources of HPQ. Spruce Pine FUD is exaggerated."
You almost certainly should not be updating the character.position both every frame (in _process) and in response to a MouseMotion event. That makes no sense.
I meant to make the point that, having worked on mobile game dev recently, if the behavior I'm thinking of seems simple, my workflow instincts have become to go to LLMs first rather than Github. Very possible this is a bad reflex. Just one I've observed directly from my experience implementing similar functionality as the parent library.
It looks like spywaregorilla's comment was downvoted at least once but I think it was making the valid point sarcastically that the idea of "LLM generated code replacing commonly used libraries is a bad one." My original post was positing on whether this might be a future trend though.
Also want to recognize the author of the library (prophesi) commented down below and definitely applaud their work in packaging and open sourcing their work plus making the tutorial video.
1. The main thing the library seems to offer is some pre-packaged libraries for mobile touch controls in GDScript, the custom language for the Godot game dev framework.
2. I have recently come across similar problems to what that this library tries to solve.
3. However, the way I went about solving it was basically using Claude and ChatGPT as my co-developers and asking them to answer coding questions. Here’s a quick example prompt about coding GDScript similar to some of the attributes of the library: https://chatgpt.com/share/c8e713e3-0662-4c7d-8645-9a76b0c032...
4. An optimistic perspective from all the above is that AI coding assistants can make it easier for people to develop libraries like this faster.
5. A negative view would be that AI coding assistants mean people don’t necessarily need “libraries” like this if an LLM can spit out the same results in a couple queries (rather than hunting around Github or the internet for pre-packaged code).
The conclusion is: "Assuming this conjecture is true, I believe it means you should entirely ignore player strength when picking players, and should only focus on factors that aren’t tied to skill, like character matchups."
I say intuitively because for decades now Smash players have been making tier lists, with "official" ones selected by the world's best players. And the point of the tier list is that "assuming players are as good as humanly possible, which in-game characters are generally superior to others as dictated by the game's implementation."
And the essay does point out the importance of character matchups, though Smash tournament players will often consider that when playing multiple matches against opponents as well.
[1]: https://luminosity.gg/news/smash-ultimates-2nd-official-tier...
Glad I read the post as I hadn't heard of Malloy before. Excuse me if I missed the answer to this, but: How much do you as Findly/Conversion Pattern implement the Semantic Layer on behalf of your users (and if so, I assume you have some process for auto-generating the Malloy models), or do your users have to do something to input the semantics themselves?