Trae 开发实战：使用 MCP 和交错思考构建旮旯盖姆原型

1. TRAE (Meet>p) Trae 开发实战：使 MCP 和交错思考构建旮旯盖姆原型唐 @MoonshotAI trae.a i

2. TRAE (Meet>p) MinakoKojima ● ● ● ● Moonshot Dev Rel Trae Expert Google DIA infra team ACM/ICPC Gold Medal trae.a i

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5. TRAE (Meet>p) 01 02 03 04 游戏开发 x AI 发展到哪了？ MCP 和交错思考如何帮助开发装进 Trae！实战 Demo AI 游戏的未来展望 trae.a i

6. TRAE (Meet>p) 游戏开发 x AI 发展到哪了？ 01 trae.a i

7. Beyond 降本增效

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16. For ● 产端：降本增效，提内容产量 ● 营销端：扩影响，形成户传播 ● 玩家体验端：让玩家玩到以前没玩过的东 trae.a i TRAE (Meet>p)

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21. TRAE (Meet>p) 、独开发者 For ● 快速构建 prototype，收获市场反馈验证玩法可性 ● 不可能 → 可能 trae.a i

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23. TRAE (Meet>p) MCP 和交错思考如何帮助开发 02 trae.a i

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28. TRAE (Meet>p) MCP 进阶法 trae.a i

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30. https://github.comaskman- dev/agent-never-give-up- mcp

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32. TRAE (Meet>p) 游戏资产 MCP trae.a i

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37. TRAE (Meet>p) 交错思考 trae.a i

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42. TRAE (Meet>p) What is interleaved thinking? trae.a i

43. TRAE (Meet>p) What is interleaved thinking? Interleaved thinking is a process that involves interleaving actions with reasoning to solve complex problems. In AI, it allows models to reason, take actions with tools, and then reason again based on the tool's results before taking further action. This makes the AI agent more dynamic and capable of creating more sophisticated and reliable solutions by reflecting and adjusting its plan in real-time, much like how a student using interleaved practice gains deeper understanding by connecting different concepts rather than relying on rote memorization. trae.a i

44. TRAE (Meet>p) What is interleaved thinking? Interleaved thinking is a process that involves interleaving actions with reasoning to solve complex problems. In AI, it allows models to reason, take actions with tools, and then reason again based on the tool's results before taking further action. This makes the AI agent more dynamic and capable of creating more sophisticated and reliable solutions by reflecting and adjusting its plan in real-time, much like how a student using interleaved practice gains deeper understanding by connecting different concepts rather than relying on rote memorization. trae.a i

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47. TRAE (Meet>p) Why is Interleaved Thinking Important for agentic model? Interleaved thinking significantly enhances planning, self correction, and reliability in long workflows. In practice, it transforms long, tool heavy tasks into a stable plan → act → reflect loop, reducing state drift and repeated mistakes while keeping actions grounded in fresh evidence. Interleaved thinking also improves debuggability: reasoning snapshots make failures explainable and recoverable, and raise sample efficiency by reusing hypotheses, constraints, and partial conclusions instead of re deriving them each step. For best results, interleave thinking with tool feedback rather than front loading it, and persist the chain of thought so it compounds across turns. trae.a i

48. TRAE (Meet>p) Why is Interleaved Thinking Important for agentic model? Interleaved thinking significantly enhances planning, self correction, and reliability in long workflows. In practice, it transforms long, tool heavy tasks into a stable plan → act → reflect loop, reducing state drift and repeated mistakes while keeping actions grounded in fresh evidence. Interleaved thinking also improves debuggability: reasoning snapshots make failures explainable and recoverable, and raise sample efficiency by reusing hypotheses, constraints, and partial conclusions instead of re deriving them each step. For best results, interleave thinking with tool feedback rather than front loading it, and persist the chain of thought so it compounds across turns. trae.a i

49. TRAE (Meet>p) 使交错思考模型的好处 ● 更好的具调 ● 更好的对话成 ● 更丝滑的开发交互 ● 节省 Token ● etcs. trae.a i

50. TRAE (Meet>p) 装进 Trae！实战 Demo 03 trae.a i

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58. TRAE (Meet>p) 使 Trae 开发旮旯盖姆 ● 构建游戏资产 MCP 服务具构建对话 ● 使 Thinking 模型调 ● 构建辅助具，加速项开发 trae.a i

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62. TRAE (Meet>p) 使 ● ● ● ● Trae 开发旮旯盖姆构建游戏资产 MCP 服务使 Thinking 模型调具构建对话构建辅助具，加速项开发使 Solo Coder 模式、侵项程，直接参与开发 trae.a i

63. 把整个项丢给 Trae

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66. Try now: https://github.com/ lychees/mtf-meido- action

67. TRAE (Meet>p) AI 游戏的未来展望 04 trae.a i

68. TRAE (Meet>p) AI 游戏的未来展望 04 trae.a i

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75. 总结还是中 ● 利 Trae 已经可以幅提开发产能（论是开发团队） ● AI 可以创造艺术，但存在定伦理问题可以只制作原型，快速验证玩法 ● AI 陪伴并消亡，是和更多的玩法共 ● 保持克制，未必要追求 AI Native 玩法

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77. 参考资料 References ● A Survey of Vibe Coding with Large Language Models ● Google Engineering Practices Documentation ● Context-Engineering-for-AI-Agents-Lessons-from-Building-Manus ● 知乎，你对AI做游戏到底持种怎样的观点和态度？它真的摧毁了“ 零基础开发、 ● 中国 ● 复盘 AI 陪伴消亡史：我们究竟做错了什么？ ● AI游戏投资的荒诞真相了条冷赛，但谁也没赢？场参加了解密游戏，重新带 AI 搓的线AI游戏 ● 的游戏制作过程吗？赛道作式”

78. TRAE (Meet>p) The Real AI Engineer.

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