TL;DR: Thank you for passing by. This article is, as usual, geek oriented. However, if you are not a geek, and/or you are in a hurry, you can jump to the conclusion: Any real application? During the month of may, I have had the chance to attend to the Google Next event in London and the dotAI in Paris. In both conferences I learned a lot about machine learning. What those great speakers have taught me is that you should not reinvent the wheel in AI.

Part I: Agility 2003 I have discovered the notion of extreme programming more than 15 years ago. My job was to integrate and to develop pieces of code in Java for the IBM Websphere Business Integration server. We were a small team with light programming skills. A part of our job was to operate the software, the other part was to develop. It was in 2003. We were trying hard to stick to the specific framework we developed.

In the last post I have played with GraphQL. The next step is to actually query the data and display it. In this post I will use react (from Facebook) and the Apollo GraphQL client. Tooling React I won’t give in here an introduction of the language because you may find on the web thousands of very good tutorials and advocacy articles. Anyway I will explain briefly why I have chosen React.