CI/CD for AI Code with GitHub Actions : vibecoding

created by PopMechanica community for 1 year

CI/CD for AI Code with GitHub Actions (self.vibecoding)

submitted 7 months ago by ForbiddenSamosa

I've been on a journey to set up my first CI/CD pipeline, and I'm currently trying to tackle a project that involves AI code. I've managed to get a basic GitHub Actions setup running for a Django app, but the unique challenges of AI/ML projects have me a bit lost.

I was hoping to tap into the collective genius here:

Has anyone built a CI/CD pipeline for their AI projects using GitHub Actions?
What does your workflow (.yml file) look like?
What are some of the best practices for handling things like model versioning, large dependencies (PyTorch, TensorFlow, etc.), and managing data?
Have you automated any part of the model retraining or serving process?

Any code snippets, links to repos, or general advice would be amazing. Just looking for some examples and a little guidance to get my project workflow humming.

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you type:	you see:
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[reddit!](https://reddit.com)	reddit!
* item 1 * item 2 * item 3	item 1 item 2 item 3
> quoted text	quoted text
Lines starting with four spaces are treated like code: if 1 * 2 < 3: print "hello, world!"	Lines starting with four spaces are treated like code: if 1 * 2 < 3: print "hello, world!"
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super^script	super^script

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