I see Libraries and frameworks as a way to capture knowledge and best practices so it can be shared with other people. So looking wat a LLM/AI does, it looks to me that this would be a perfect fit. Without the dependeny hell, unresolved github issues, need to fork and leaving maintainers. It could be opensource on steroïdes, with far shorter feedbackloops (just working in your IDE).
The main burden I see is validation of the output and getting reproducable results. As with many AI solutions.
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Key features:
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Seems to me like a promising MLOPS alternative to platforms like Roboflow.
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