Premier Sponsor: ag-Grid (ag-grid.com). As developers, we get paid to write bugs and then fix them. At first, it's exciting, but after some time, bugs tend to start repeating, and that's why we come up with new libraries, tools and framework all the time - to make things more exciting (and our lives easier). But what if the code could be written for us instead? In this session, Dominic and I are going to employ state-of-the-art machine learning algorithms to automatically write TypeScript code. You will see how we trained a model using a large dataset of open-source code, and learn how we cleaned up and prepared the data. We will also go over the basics of machine learning as we show you what we did. It's going to be mind-blowing, much fun, and a little bit dangerous. Are you prepared? About Dominic Elm Dominic is a graduate in computer science and is passionate about many web technologies including Angular, Firebase, ReactiveX, and recently started to dive into Machine Learning. He's Frontend Engineer, Trainer and Consultant at thoughtram providing Angular trainings worldwide. In addition, Dominic is working on MachineLabs, a large open-source project that aims to provide better tools for the community to get started with Machine Learning. About Uri Shaked Uri Shaked is a Google Developer Expert for Web Technologies. He regularly writes about Web and IoT related technologies in his blog, and speaks about these topics in conferences and meetups around the world. Among his interests are Virtual/Augmented Reality, hardware hacking, neuroscience, building 3D-printed robots and games, playing music and Salsa dancing. Premier Sponsor: ag-Grid (ag-grid.com).