How ants sort their eggs

Whenever i learn a new language and/or a new engine, I develop the program I made during my studies : Ants Collective Sort. 

I've developed then my Ant Simulation in C++, Java, Swift (it worked well on my iPhone and iPad), Unity and now Godot.

This helps me to learn with a purpose. The journey to get it done allows me to learn a lot of things. In my learning journey to Godot, I was able to understand :

• Nodes : is it better to use a CharacterBody2D or a Area2D for ants (among the questions I had).
• UI : how to design a user friendly interface as a Control Node
• Signals : how a scene can communicate to another
• AnimateSprite2D : the effect of looking at the ants crawling on your screen is something worths to be seen !
• Tree : is it better to manage carried squares as a child to an ant, or better to manage squares position dynamically with ants (answer : in my short and humble experience, don't move child back and forth in the main tree)

Now that the Collective Sort is running, I want to improve the way I structure development, with the objective to develop autonomous entities (OOP style, as I was able to develop when I was younger).

Collective Sort is a demo which shows how collective intelligence works, by simulating an ant farm where ants sort their eggs. 

Simple local rules resulting in an emergent organized structure : eggs are sorted by type.

In the environment, you have ants 🐜, red squares 🟥, and blue squares 🟦.

Each Ant 🐜 is doing the following :

• If it doesn’t carry a square 🟥, and it comes across a square 🟥, the less it crossed the same type of square, the most probable it picks-it up.
• If it carries a square 🟦, and it comes across a square 🟦, the more it crossed the same type of square, the most probable it drops it. 

2 simple rules. Collective intelligence is always surprising and it keeps me amazed.

Code is available here : https://github.com/WhitePuppyGD/CollectiveSort.git