6个Agent组团Vibe Gaming：自己生成、试玩、修Bug

TL;DR - DarwinMind’s Spellcaster uses six specialized agents to generate, test, and repair playable game prototypes from natural-language prompts. Its closed-loop workflow targets gameplay coherence rather than merely producing executable code.

• Agents separately handle rules, levels, assets, playability, simulation, and repairs.
• The system iterates through generation, execution, testing, and localized fixes.
• Users can conversationally adjust gameplay, difficulty, and visuals without regenerating the entire project.
• The team plans to use world models to generate game states and visuals directly from player interactions.