Project Description
Sometimes open source products lack of a good and inspiring documentation. So my idea is to brush up my Blender skills to a level that I'm able to do some tiny 3D animations to explain workflows and procedures better.
Goal for this Hackweek
- learn the fundamental skills to use Blender for 3D animation.
- create a small animation that explains how the enhanced scheduler in openQA will work. This animation could then be used for this ticket
Resources
- Blender.org web site
- Blender course on Udemy (booked this on May 11 and started already)
- GitHub repository for the video on enhanced scheduler
Looking for hackers with the skills:
This project is part of:
Hack Week 21
Activity
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Advent of Code: The Diaries by amanzini
Description
It was the Night Before Compile Time ...
Hackweek 25 (December 1-5) perfectly coincides with the first five days of Advent of Code 2025. This project will leverage this overlap to participate in the event in real-time.
To add a layer of challenge and exploration (in the true spirit of Hackweek), the puzzles will be solved using a non-mainstream, modern language like D, Crystal, Gleam or Zig.
The primary project intent is not just simply to solve the puzzles, but to exercise result sharing and documentation. I'd create a public-facing repository documenting the process. This involves treating each day's puzzle as a mini-project: solving it, then documenting the solution with detailed write-ups, analysis of the language's performance and ergonomics, and visualizations.
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|\\ | | \\| >@>>0<*<0>>@<<0<<<*<@<<
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|\ \| || / //||.*.*.*.|>>@<<*<<@>><0<<<
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------------------------------------------------
This ASCII pic can be found at
https://asciiart.website/art/1831
Goals
Code, Docs, and Memes: An AoC Story
Have fun!
Involve more people, play together
Solve Days 1-5: Successfully solve both parts of the Advent of Code 2025 puzzles for Days 1-5 using the chosen non-mainstream language.
Daily Documentation & Language Review: Publish a detailed write-up for each day. This documentation will include the solution analysis, the chosen algorithm, and specific commentary on the language's ergonomics, performance, and standard library for the given task.