The modern software development landscape offers multiple ways to write small code snippets in a really fast and efficient way, thanks to a variety of AI-powered tools that greatly simplify the creation of small to medium-sized projects. However, transitioning from a small proof-of-concept project to a scalable and maintainable industrial production code remains challenging. This thesis analyzes the difference between these two phases, emphasizing the transformation from a code prototype, focused on core functionalities and feasibility of a project, into a robust, scalable, and maintainable market-ready software solution. This transformation process involves extensive testing, documentation, refactoring, optimization, and adherence to best coding practices and standards.