Core Insights - The article discusses how a father, KiddFlash42, utilized AI to create an educational game with his 5-year-old son, transforming the learning process into a fun experience [1][4][17] Group 1: Project Initiation - The project began as a solution to the father's concern about his son's reluctance to engage in learning activities like reading and math [4] - After discovering that AI could write code, the father asked AI if it could create video games, leading to the generation of a game structure and example code [5][6] Group 2: Development Process - The development process was characterized by minimal documentation, relying heavily on the child's imagination for game features [8] - The father primarily handled copying, pasting, and troubleshooting with AI, while the son acted as the "product manager," directing the game's design [7][10] Group 3: AI Interaction - Initially, the AI (Gemini) performed well, providing a friendly interaction that made the project feel like a game rather than work [9] - As the codebase grew to around 1200 lines, the AI began to struggle, leading to frequent errors and crashes, prompting a switch to GitHub Copilot for improved productivity [10][13] Group 4: AI Model Performance - The father ranked various AI models based on their performance, with Claude Opus 4.5 being the most effective, followed by Gemini and GPT-5.1 [14][15][16] - Claude Opus 4.5 was noted for its ability to understand the child's creative ideas without destabilizing the project, while Gemini was friendly but technically unstable [15][16] Group 5: Final Outcome - The educational game successfully integrated reading, spelling, and math into engaging gameplay, reversing the father's role from enforcer to facilitator in his son's learning [17][18]