
Kyle Jeffery on Full-Stack Development, Data-Driven Farming, and the Future of Ag Tech
When I joined Stout as a Senior Software Engineer, I saw a unique opportunity to bring meaningful innovation and cutting-edge software development to an industry that’s historically been underserved by technology. My career has spanned everything from VR robotics at X, the Moonshot Factory, to full-stack cloud infrastructure, but agriculture felt like a space where innovation could make a truly tangible impact.
I first worked on ag tech projects while studying at UC Santa Cruz, and even back then, it was clear that farming is filled with challenges that data and software are uniquely positioned to solve. At Stout, I get to build the tools that make that transformation real – from backend data systems to intuitive mobile and in-cab apps. Every day is different. One minute I’m debugging code in our mobile app, and the next I’m optimizing the backend of our data pipeline or reviewing machine vision outputs from the Smart Cultivator. I thrive on that variety. There’s a rhythm to the work – building, releasing, collecting feedback, and refining. We operate in tight cycles of iteration, which allows us to test new features quickly and roll out improvements that respond directly to what growers are seeing in the field.
One of the most exciting challenges we take on is building intuitive, rugged software that stands up to field conditions. Our goal is to make complex technology feel simple for operators. We’ve built mobile and in-cab apps that allow crews to monitor the machine in real time, see what the cameras see, and adjust cultivator settings on the fly. React Native, Python FastAPI, and AWS Cloud Services are just some of the tools I use to build flexible platforms that scale as our customers’ needs evolve.
Looking ahead, I’m especially excited about how AI and automation will continue to shape agriculture. Stout’s Smart Cultivator already performs multiple functions, mechanical weeding, plant-level scanning, and data capture, in a single pass. But this is just the beginning. AI has the power to transform how growers forecast yields, monitor plant health, and make decisions based on real-time and historical field data. We’re laying the groundwork for that future now with tools that are modular, configurable, and designed to adapt to changing field conditions.
Our software team functions a lot like a startup within the company: lean, collaborative, and always pushing to do more with less. That means every developer plays a cross-functional role, wearing many hats. I manage our fleet tools, contribute to our VRF software, and help design debugging systems that make troubleshooting easier across the board. We also rely heavily on customer feedback to guide product direction, and that connection to the grower makes our work all the more meaningful.
To any young software or robotics engineer looking to get into ag tech, my advice is simple: follow your curiosity and build things that interest you. The skills you develop through personal projects and side experiments often translate directly to the field. Agriculture may be behind other industries in tech adoption, but that gap is exactly where the opportunity lies, and at Stout, we’re working every day to close it.
About Kyle:
Kyle Jeffery is a Senior Software Engineer at Stout Industrial Technology, where he designs and develops full-stack software systems that power next-generation agricultural equipment. With a background spanning robotics, cloud infrastructure, and mobile development, Kyle brings a unique perspective to ag tech innovation. From building debugging tools to advancing machine vision and AI-driven automation, he’s passionate about creating intuitive platforms that make farming smarter, more efficient, and data-driven.