Published by
Bottle Rocket’s 12th annual Rocket Science was once again a success!
Our Rocketeers brought their a-game, boundless creativity and fresh ideas, including 22 projects spanning technological advancements to the science behind crafting a perfect cheese curd.
Since its inception, Rocket Science has been a unique platform to stretch our imaginations, build new skills, and connect with Rocketeers we might not usually collaborate with during our daily routine.
As Rocket Science evolves over time, it’s always incredible to see the ways Rocketeers find community through the opportunity to innovate together. This year, Bottle Rocket TV was the connection point between in-person and remote Rocketeers, keeping everyone in the know and broadcasting nearly every hour live from our office.
We checked in with some of our resident tech experts to hear about their projects. Learn more below!
Project: Terminal W by Harish Patel
About the project: Developers generally use Command Line Interface (CLI) to do some day-to-day tasks instead of Graphical User Interface (GUI). This allows us to run batch operations in a sequence as well. There are a couple of new tools, Warp and Wave Terminals, to enhance the CLI experience. I use CLI on my current project and found that the Warp terminal has a feature called (Warp Drive / Workflows) that will save a few minutes a day. Warp is a free tool with paid options, although I can achieve what I need with the free version. Workflows are templates of commonly used commands. It saves time by not having to type text over and over.
Project: iOS Cookiecutter Template by Tyler Milner
About the project: Cookiecutter is project-agnostic, which allows it to work with any file-based project. In other words, a collection of spreadsheets, text documents, design documents, images, etc., can be turned into a project template, which means that it would be trivial to create a Cookiecutter template for API projects and apply the concepts to my day-to-day activities. I don’t do as much iOS development anymore, and I wanted a chance to return to my roots and work on some mobile app development activities. This time, I decided to work on some of the development infrastructure for creating apps instead of working on a full app concept.
Project: SketchAI by Will McGinty
About the project: I worked a lot with LLM’s text generation capabilities last year when I built an App Store Optimization assistant. While most of that feature set was easily understandable by GPT4 and Claude 3, I was very disappointed with the image generation capabilities. Since last year, Dalle-3 has seen wider adoption, and I wanted to know if the general image generation capabilities have improved. I also wanted to see how well the spatial recognition of NVIDIA’s GauGAN could be applied to more general models. Turns out, it can’t. I came out of this Rocket Science with the same opinion I had last year. AI is evolving and improving but will not replace anyone soon. If you want to stay ahead of the game, learn what AI excels at (and what it doesn’t!) and how you can use it to improve your competencies.
Rocketeers also incorporated this year’s Diwali celebration into Rocket Science, bringing everyone together on the dance floor and crafting Diya lamps.
We can’t wait for next year!
