{"id":8323,"date":"2022-12-20T22:23:14","date_gmt":"2022-12-20T22:23:14","guid":{"rendered":"https:\/\/modeling-languages.com\/?p=8323"},"modified":"2022-12-22T12:39:28","modified_gmt":"2022-12-22T12:39:28","slug":"models-to-code-models-to-prompts","status":"publish","type":"post","link":"https:\/\/modeling-languages.com\/models-to-code-models-to-prompts\/","title":{"rendered":"From models-to-code to models-to-prompts: the next MDE revolution?"},"content":{"rendered":"
As all of you, I’ve also been playing with ChatGPT<\/a>. I’ve tried it to generate code and models from simple prompts. With impressive but mixed results. ChatGPT will NOT definitely replace programmers. Even less modelers. But it still may revolutionize software development, especially, model-driven software development<\/a>. In this post, I explain how.<\/p>\n For instance, regarding code generation, I ask it to create a simple WordPress plugin (as this seemed indeed possible<\/a>) to display my most popular slideshare presentations<\/a> in any page thanks to a new WP shortcode<\/a>. The result was a piece of useful but incomplete code with some small errors regarding the use of the slideshare API due to mixing up API versions. I was able to improve the results by chatting with ChatGPT. But of course, I could only do so because I have enough experience in building WP plugins to know what was missing.<\/p>\nFirsts experiments with ChatGPT<\/h2>\n