Prohibu is a technology-driven initiative focused on developing practical, scalable solutions for modern urban farming. We combine automation, data-driven thinking, and hands-on experimentation to improve how food is grown in limited spaces. Our work bridges agriculture and technology, enabling more efficient, reliable, and sustainable food production systems that can be applied from small-scale pilots to larger operational environments.
Generative AI assists in translating operational requirements into structured application components, including data models, API logic, and workflow definitions. It is used to review code patterns, suggest optimizations, and reduce repetitive development tasks, enabling more focus on system reliability, integration, and real-world testing. This approach helps streamline development without compromising engineering standards.
Prohibu applies Generative AI with a clear boundary: AI is a tool to enhance productivity, not a substitute for engineering judgment or field validation. All AI-assisted outputs are reviewed, tested, and adapted to real operational constraints. By combining human expertise with AI-assisted development, Prohibu builds applications that are efficient, maintainable, and aligned with practical deployment needs in urban farming and automation systems.