Faster Development with ChatGPT: Peloton workout metrics in iCalendar

Are you a Peloton enthusiast looking for a seamless way to integrate your workout schedule with your calendar? We’ve got you covered! In this article, we’ll walk you through the process of effortlessly adding your Peloton workouts to popular calendar applications, allowing you to stay organized and stay on top of your fitness goals.

We embarked on this journey armed with ChatGPT, a powerful language model, to guide us in finding the necessary Python libraries and implementing a conversion script. With the help of the pylotoncycle library and some custom code, we developed a solution that automates the conversion of Peloton workouts to iCalendar format.

But we didn’t stop there. We recognized the importance of contributing back to the community, so we added unit tests and submitted a pull request to the pylotoncycle library. Our contribution not only enhanced the library but also paved the way for other developers to leverage our solution for their own Peloton integration needs.

In this article, we’ll explain the challenges we faced, the steps we took to overcome them, and the benefits of integrating Peloton workouts with calendars. Whether you’re a software developer or a Peloton user interested in the technical details, this article will provide you with the insights and guidance you need to seamlessly incorporate your Peloton workouts into your calendar.

Automate Your WebCalendar Deployment in AWS with Terraform

For applications like WebCalendar, it’s important to have a reliable and scalable infrastructure to support them. One way to achieve this is by using Infrastructure as Code (IAC) to provision and manage your infrastructure. IAC allows you to automate the provisioning and management of your infrastructure, reducing the risk of errors and saving time. In this post, we will be discussing how to use Terraform to install aWebCalendar on an AWS EC2 instance using Amazon Linux 2. We will also discuss the benefits of IAC and compare Terraform to AWS Cloud Formation.