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Very pleasantly surprised to discover @cursor_ai cloud agents can playtest the godot game I built. See the (sped up) video below of the agent playtesting the game.
As I was watching it play the game, I can see the agent slowly learn how the game works and familiarise with the game's UI.
I also realised that the agent is a very 'safe' player, choosing to play very safely and retreating from battle if it foresees it can't defeat. Very interesting to see. I wonder if I could simulate different game playtester behaviours that mimic different types of real-world player archetypes.
With agentic playtesting, this means that the agents are able to provide actual gameplay feedback and suggestions to improve the game, having played the game itself. This unlocks a whole lot of possibilities for AI-assisted game dev, since it closes the playtest loop.
This feels like the future of recursive game development, where agents can now recursively build > playtest > improve the games they are working on.
Thanks @edwinarbus for letting me know that these agents can actually playtest games, not just software!
Very excited to dig deeper to see what I can do with these agents with computer access!
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