I'm suggesting that you take an existing system and build up a corpus of request/response pairs. Then you use the LSTM to build a prediction model so that given a request it will tell you that the current production system will produce the following sql statement and this http response. Once the LSTM's output is indistinguishable from your current production system , for all use cases, then you replace the production system with the LSTM and a thin layer that can listen on the port, encode/decode the data, and issue sql queries.

Why would I want to do this? I'm not 100% sure ... I think it would be super fast once you got it working. I think it would avoid many security bugs. You wouldn't have to read that "oh drupal 3.x has 20 new security bugs" better go patch our code. I think when I had this idea I was thinking about it terms of a parallel system that could catch hacking by noting when actual http responses diverged too much from the predicted response. The main idea being that for a given input the output really is 100% predictable, assuming your app doesn't use random numbers like in a game or something.

To link this idea to the article, I think things like XML parsers could be written this way .... I can't prove it but I suspect that they would be very fast and not come with all the baggage that the article complains about.

I started thinking along these lines after reading stuff like this https://medium.com/@karpathy/software-2-0-a64152b37c35