There is a big gap before 2012. For examples, projects featured at Cybernetic Serendipity Music 1968 [1], and Harold Cohen's AARON [2]. Having that said, I'm not strictly sure if it belongs to machine learning.
I’d love to see a proof of concept of a network that generates the bootstrap front-end and connects a backend. Bonus, if the model applies attention to visualize the focus on the front-end markup as it builds the back-end.
In the short-term, this approach will struggle to compete against WYSIWYG editors. But as soon as they can match them in output, they’ll improve exponentially faster. WYSIWYG editors has a ton of code to maintain, while a model is simple to improve.
Ha, it reminds me of what Andrej Karpathy said "Kaggle competitions need some kind of complexity/compute penalty. I imagine I must be at least the millionth person who has said this." It would be interesting to collaborate/compete on more creative tasks and have different metrics for success.
-https://cyberneticserendipity.net/
-https://en.wikipedia.org/wiki/Harold_Cohen_(artist)