People should use less Ai, and learn more how to program

Yes. Once you know how, you can see pitfalls with AI.

Interesting, but I never needed AI for coding. Well, twice, and I had to do changes, but would not use AI to generate code.

My small Python (~100 lines of codes) codes aren’t maintainable, but I’m happy with them. I don’t ever plan to work on serious projects with Python, so I can’t say much about it’s maintainability. But, from limited experience, I’d rather use C++, C#, or in my special case, G’MIC if maintainability matters to me.

In my experience, it is.

I had converted a Python code into G’MIC, and then some one else did a Python version of my own code. G’MIC is interpretative with JIT math parser. The results:

Reversing digits in a 1024x1024 RGB image.

Python: Without lookup table and numpy - 3+ minutes

Python: With lookup table and numpy - 6.5 s (Some one else machine, but it shouldn’t take that long)

G’MIC: Without lookup table - .3 s

G’MIC: With lookup table - .005 s

And I did Lavander Binary Map on my machine, you can find code for Python version in github/gmic-community/include/reptorian.gmic:

Python: 3 s (Without lookup table)

G’MIC:.15 s (Without lookup table)

G’MIC: .05 s (With lookup table)

Honestly, I find Python pretty bad for image processing in general.

I use Levels filter tool for that in Krita. Already non-destructive.

Scala does look nice. Just a quick syntax view makes me want to give it a whirl when I want an alternative to Python. I used to code in C++, and C#. I use G’MIC (DSL) as my main. Scala seems right up my alley.

When I do commit, I write up the title of what I did, and describe it, and then use periods for related commits. Just easier.

I’m just glad I have other options than just Python. Am not afraid of writing my solutions either. I rarely use Python these day.