Developing the next version of XOD using AI

Hi everyone,

I’m writing this post specifically addressed to the XOD team.

I’ve been developing software and firmware in C, JS, Python, and C# for many years. In recent months, I’ve been working on creating end-to-end AI-based projects.

XOD is a platform I like, but I find it lacking. It generates code very inefficiently, and I believe with serious optimization, it could gain significant advantages. I actually conducted a preliminary optimization study on the C/C++ side last month, and it was successful.

To be honest, I had started developing an alternative to XOD. However, upon learning that XOD’s development is currently uncertain, I felt it would be best to first open this topic for discussion in the forum.

What do you think about rebuilding XOD from scratch with all necessary revisions, using AI? If you’re open to the idea, I’d be willing to join the team part-time until the end of the year.

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An Ai assitant would be great to create node base on an arduino librairie

There’s interest in rebuilding XOD as an actively developed platform. See:

This is still relevant for us. And XOD might also be a platform for integration of AI generated code as nodes - to integrate with existing working nodes…

I love XOD and have used it for some good industrial projects. I also use Visuino; however, I think XOD is easier to learn and use. It would be wonderful to see it’s development progress.

I’m not a programmer and don’t understand how GitHub works but is it possible to do pull requests and make updates to keep the project going and up to date?

The project has closed-source repositories that also need to be updated, and this cannot be done externally.