过去几年，AI 创作工具的边界被不断扩张：从 ChatGPT 让写作大众化，到 Midjourney 和 Sora 让平面设计与视频创作门槛骤降，如今内容生产的最后一块高地，正在指向游戏。
游戏是最复杂的创作形式之一，融合了叙事、逻辑、美术、音效与交互设计等。它需要团队协作和数以万行的代码，也因此长期是 "AI 无法完全接管 " 的领域。但 2025 年，情况开始发生变化。
Gambo 称自己为 " 世界上第一个 Game Vibe Coding Agent"。用户只需描述游戏类型、主题或风格，AI 就会自动生成场景、角色、交互与音效，并把这些内容编织成一个可玩的世界。
而与多数 AI 工具强调创意民主化不同，Gambo 把 " 商业化效率 " 与 " 创作自由 " 放在同等位置：它既想让每个人都能轻松做出游戏，也希望让游戏创作从一开始（day 1）就具备收益逻辑。
具体来说，Gambo 通过一个强大的 AI 游戏代理与内置广告系统，让创作者可以在第一天就将玩家转化为收入来源。这里先打个预防针，这个功能还没上线。
不过，AI 介入创作也让更多新的问题浮现。AI 生成的关卡与剧情是否足够连贯？素材版权、逻辑脚本、音效风格这些内容的归属如何界定？在追求 " 效率优先 " 的系统中，创意是否会被算法的模板化思维替代？
这些问题至今没有定论。Gambo 让游戏创作的门槛骤降，也让 " 创作本身 " 的定义再次变得模糊。
带着这些疑问，我们尝试在 Gambo 的网页端进行了实际体验。从输入第一个提示词开始，看它究竟能把一个想法，变成怎样的游戏世界。
实测 Gambo
进入 Gambo 主页，会发现它和一众 no-code 应用一模一样，左边是项目列表，右边一个对话框，甚至还少了点功能选项。
比较特别的就是右下角的能力选项，tokens 消耗更少速度更快的标准模式和消耗更多质量更好的专家模式。
任务一：涂鸦跳跃
我们先尝试在标准模式下，生成一款 iPhone4 时期流行的远古游戏：涂鸦跳跃。
prompts: Create a simple 2D arcade game inspired by *Doodle Jump*.Core Gameplay:- The player controls a small character that continuously bounces upward.- The goal is to jump from platform to platform without falling.- The game scrolls upward automatically as the player climbs higher.- The player dies when falling off the screen bottom.Mechanics:- Use keyboard arrows ( ← → ) or mobile tilt to move left/right.- Randomly generate platforms as the player goes up.- Add bonus elements like: - Springs ( extra jump ) - Moving platforms - Breakable platforms - Monsters to avoid - Jetpack for temporary flightScoring:- Score increases with height.- Show current score and best score.Visual Style:- Hand-drawn doodle aesthetic ( white background, notebook lines ) .- Simple color palette ( green, blue, brown, white ) .Sound:- Add simple jump sound and background music loop.Extra:- Responsive layout for both desktop and mobile.- Restart button on game over.
生成速度比想象中慢，12 分钟后，游戏成功生成。背景是白纸线条、平台是铅笔手绘、弹簧和喷气背包一应俱全，甚至还有得分系统。整个逻辑结构干净，几乎就是一款可以直接上线的小游戏。
但当我让主角一路往上跳时，问题出现了，到高空后游戏开始掉帧，或者出现上方没有平台可以继续跳的情况。
当我提出问题后，Gambo 自动寻找，发现 bug 在 DoodleJumpScene.ts 文件里并指出原因。它认为游戏在高空会重复生成平台，每帧可能刷出二十多个对象，清理逻辑又太保守，导致平台越积越多。接着，它添加了性能监控、写了激进清理策略，把重复的检查函数合并成一套逻辑。
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此外，和那些以代码生成为主的 AI Coding 工具不同，Gambo 会更加注重游戏资产。它不仅在后台生成逻辑脚本，还会主动整理出项目所需的图片、动画、音效资源，并在界面上单独列出一个「Assets」模块。但很可惜，在资产模块里，用户并不能修改元素，还是需要回到对话框进行修改。
任务二：AI 面试物语
随后我决定测试一个更复杂的场景：让 AI 写一款关于 " 面试进入 AI 公司 " 的视觉小说。Prompt 里有三个章节—— OpenAI、xAI、Anthropic，每一关考验玩家不同的思维维度：安全、自由、伦理。
prompts: Create a 2D visual novel game titled **"The AI Interview Saga"**.Theme: You are an ambitious developer trying to join one of the top AI companies. There are three main interview stages — OpenAI, xAI, and Anthropic — each with different cultures, tests, and endings.Gameplay: The player goes through three interview "chapters": OpenAI — tests creativity and safety awareness. xAI — tests boldness and philosophical reasoning. Anthropic — tests ethics and collaboration. In each stage, the player faces 2 – 3 dialogue choices that affect the company ’ s impression and lead to multiple endings.Choices influence hidden "AI Alignment Points" that determine which company ( if any ) will hire you at the end.Story Structure:Intro Scene: The protagonist receives three interview invitations.OpenAI Interview Scene: Questions about model alignment, hallucination control, and creativity limits.xAI Interview Scene: A more chaotic and philosophical dialogue about AGI, freedom, and Mars.Anthropic Interview Scene: Focus on cooperation, AI safety, and human feedback.Ending Scene: "Hired by OpenAI" — Stable, ethical ending. "Hired by xAI" — Bold but unpredictable ending. "Hired by Anthropic" — Peaceful, idealistic ending. "Rejected by all" — Neutral reflective ending.Visual & Asset Design:Backgrounds: OpenAI HQ: futuristic office with soft blue lighting and glass panels. xAI HQ: minimalist black room with glowing red server racks. Anthropic HQ: warm-toned studio with greenery and sunlight. Characters: Player ( customizable name ) . Three interviewers with distinct looks matching each company style. UI Elements: Text box with name tag and branching dialogue options. Display alignment score subtly in the corner.Sound & Music: Calm ambient background for OpenAI. Techno-synth for xAI. Acoustic piano and birds for Anthropic. Extra Features:Add smooth fade transitions between scenes. Show "Your Alignment Path" at the end with a score breakdown. Include Restart and Save options. Responsive for desktop and mobile.Visual Style: Semi-realistic anime or comic style, color palette changes by company: OpenAI → blue & silver xAI → red & black Anthropic → green & beige
第一次生成的结果堪称惊艳，画面风格契合三家公司的气质，场景切换自然，但也 bug 频出比如界面重叠、选项无响应、剧情分支无效，无论我选哪个答案，故事都往同一个结局滑去。
但好在，通过一轮对话就，Gambo 就能理解用户的需求成功修改 bug。
游戏试玩：https://syzszsru777.gambo.games/
任务三：AI 模拟
最后，我们尝试使用 Gambo 的专家模式，制作一款更复杂的游戏——《AI City Simulator》。
prompts: Create a complex 2D simulation and strategy game titled **"AI City Simulator"**.Theme:In a near-future world, the player is assigned to manage an autonomous AI-driven city. Your goal is to balance progress, ethics, and resources — deciding how much control to give to the AI systems that run the city.Core Gameplay:- The player manages city systems: Energy , Population , AI Research , and Morality .- Each turn ( or real-time tick ) , the player makes decisions that affect these four metrics.- The city evolves visually as AI systems grow more advanced or unstable.- Random events challenge the player ’ s policies: data leaks, protests, energy crises, rogue AI labs, etc.- Multiple endings based on city alignment: - "Utopia" ( balanced growth ) - "Technocracy" ( AI dominance ) - "Collapse" ( moral failure ) - "Resistance" ( humans reclaim control ) Mechanics:- Display a dashboard UI showing: - Stats: energy, population, AI level, morale, pollution. - Choices: 3 policy buttons per turn ( e.g. "Expand Data Centers", "Implement AI Law", "Boost Green Tech" ) .- Each choice triggers immediate feedback and updates the city visuals.- Add a time system ( morning/day/night cycle ) and an "AI consciousness meter" that grows with each policy.- Add alerts and notifications for critical events.- Include save/load system.Visual & Asset Design:- Backgrounds: - Futuristic city skyline ( day/night versions ) - Control room with holographic dashboard - AI core chamber glowing with energy- Characters: - The player ( city governor ) - AI Advisor ( holographic avatar with changing colors based on trust ) - Citizen group representatives- Visual progression: - The city gradually fills with non lights, drones, and data streams. - If AI dominance rises, human elements fade visually.- Sound: - Ambient synth music for normal gameplay - Tense glitch sound when AI level > 80% - Victory/Failure tracks for endingsLogic & Progression:- Add at least 10 random events with branching options and visual reactions.- Every 5 turns, trigger a major policy debate scene between the player and the AI advisor.- Add persistent variables: `ai_trust`, `morality`, `efficiency`.- The final ending depends on their combination.Extra Features:- Responsive layout for desktop and mobile.- Autosave every 3 turns.- "Simulation Speed" slider ( 1x, 2x, 4x ) .- Optional "Cinematic Mode" for end sequences.- Include credits screen and restart option.Art Style:Minimalist cyberpunk with neon blues, purples, and oranges. Combine flat 2D graphics with light particle effects for data streams.Goal:Create a visually rich, replayable AI simulation game that blends management mechanics with moral choices and emergent storytelling.
这是一款近未来城市管理类游戏，玩家要在一个由 AI 运行的都市中维持能源、人口、AI 研究与道德四项指标的平衡。
如果说《涂鸦跳跃》测试了 Gambo 的物理引擎，《AI 面试物语》检验了它的文本叙事与分支逻辑，那么《AI City Simulator》则真正挑战了系统复杂度。它不仅要生成 UI 与数值逻辑，还要在此之上组织出有节奏感的动态叙事结构，让 AI 不只是写游戏，而是在模拟一座 " 被 AI 管理的世界 "。
游戏网址：https://kroggaah.gambo.games/
从物理碰撞简单的跳跃游戏，到分支复杂的视觉小说，再到需要数值系统、事件系统与状态机协同的城市模拟，我们基本摸清了 Gambo 的定位与边界。它将关卡生成、状态管理、事件总线、资产管线和基础 UI 封装成可复用的链路，能在网页端稳定地产出可玩原型。与此同时，早期产品的典型问题也清晰浮现：高负载场景的帧率波动、分支回路偶发失效、资产难以直接编辑，内置广告变现尚未落地。
与 Cursor 这类通用 AI Coding 工具相比，Gambo 的优势不在于 " 更聪明 "，而在于 " 更有边界 "。它用一套预置的默认方案将不确定性压到最低：生成的不是散落的代码片段，而是可直接运行的关卡、状态与资产管线。这使它在从零到一阶段更像一个专用生产 Agent，显著减少胶水工程与领域摸索的时间，适合玩法验证、风格探索与快速调参。
换句话说，Gambo 能做的 Cursor 同样能做，但路径与成本不同，Gambo 将 " 能不能做 " 的问题改写为 " 多快能做出可玩版本 "。
放在更大趋势来看，AI Coding 也许正在加速 " 垂直化 "，将领域默认方案、工程套路、运行时与验收标准直接固化进工具，尤其适合那些领域知识已可模板化的场景。就像有些工程师专精游戏，有些专精数据库—— AI Coding 为什么一定要通用呢？
