Show HN: A TSP game I wanted for 10 years - built in 4 hours (www.graphhopper.com)

Stefan, a co-founder of GraphHopper, recently unveiled a simple web-based game designed to illustrate the complexities of the Traveling Salesman Problem (TSP). This project, a labor of passion for over a decade, was accomplished in just four hours using Alphabet's new IDE, Antigravity, and AI tools like Claude and Gemini to develop the frontend. The stack combined React, Vite, and Tailwind CSS, and incorporated their own optimization API for routing, showcasing how quickly modern AI can facilitate development, even for those lacking frontend skills. This announcement is significant for the AI/ML community as it highlights the growing accessibility of advanced AI tools that allow creators to bring their ideas to life without extensive programming knowledge. The game not only serves as an educational tool but also reflects the iterative capabilities of AI in development, solving real-world vehicle routing challenges while generating immediate feedback and refinements to existing software systems. With customizable parameters to adjust difficulty, the game effectively demonstrates the NP-hard nature of the TSP, inviting players to engage with complex optimization problems in a fun and interactive way.