A data professional drafted a prompt with ChatGPT and used Cursor agent mode to build a Python tkinter game with four minigames.
A data professional drafted a prompt with ChatGPT and used Cursor agent mode to build a Python tkinter game with four minigames.
Alvin Leung, a data scientist, spent a few minutes with ChatGPT refining a game concept into a short prompt: four minigames, Python with tkinter, time-based scoring. In Cursor he first had a simple scene-based architecture set up. He then described each minigame in plain language to agent mode, which generated the logic, UI, input handling and scoring, and he asked for follow-up tweaks. He tuned difficulty himself.
He had a playable game in a couple of hours. It had four minigames, JSON-saved high scores and a leaderboard, and BCG-green theming. Feedback came from three colleagues, so the evidence is thin.
He did the game design himself and tuned balance, such as enemy and block counts, by hand without the AI.
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