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niupilot bot commented Sep 25, 2025

🔍 PR Review: Documents of how Xpaint is powered by AIGC

Review Progress:

  • Analyze PR changes and scope
  • Read documentation content
  • Review content quality and technical accuracy
  • Check formatting and structure
  • Provide comprehensive feedback

📋 Review Summary

This PR adds comprehensive documentation about integrating AI capabilities into Xbuilder's drawing functionality. The document provides valuable insights into AI integration best practices for game development platforms.

⚠️ Issues Found

High Priority Issues

1. Inconsistent Formatting and Structure (实训感悟.md:30,52)

  • Section numbering is inconsistent (uses both "2." and "三、" for section 3)
  • Subsection "3.1.2" appears twice (lines 44 and 52) with different content
  • Consider using consistent numbering format throughout

2. Markdown Formatting Issues (实训感悟.md:66-73,81-91)

  • Several list items have improper indentation and formatting
  • Multi-line descriptions should maintain consistent formatting
  • Some technical terms need proper markdown styling

3. Image References (实训感悟.md:42,48)

  • Images reference local files (image1.png, image2.png) without proper relative paths
  • Consider using proper relative paths like ./image1.png for better portability

Medium Priority Issues

4. Technical Writing Clarity (实训感悟.md:26-28)

  • The sentence about model testing is overly long and could be split for better readability
  • Consider restructuring: "我们针对openAi gpt4, Claude 4, Google Gemini 2.5 pro, 以及专业绘图模型Recraft v3/v2, svgio等多家模型商进行了测试"

5. Content Organization (实训感悟.md:96-101)

  • The final paragraph in section 3.2 is extremely long (6 lines)
  • Consider breaking it into smaller, more digestible paragraphs

✅ Strengths

  1. Comprehensive Coverage: The document covers the complete AI integration process from user interaction to backend processing
  2. Practical Focus: Real-world examples and specific implementation details
  3. User-Centric Approach: Strong emphasis on user experience and reducing barriers for young creators
  4. Technical Depth: Detailed explanation of prompt engineering and model selection process

🎯 Recommendations

  1. Fix Numbering: Standardize section numbering (recommend using Arabic numerals throughout)
  2. Improve Formatting: Apply consistent markdown formatting for lists and technical terms
  3. Break Long Paragraphs: Split overly long paragraphs for better readability
  4. Update Image Paths: Ensure image references use proper relative paths
  5. Consider Adding: A table of contents for this comprehensive document

📈 Impact Assessment

This documentation will be valuable for:

  • Understanding AI integration strategies in creative tools
  • Learning prompt engineering best practices
  • Implementing user-friendly AI features for non-technical users

The content quality is high and provides actionable insights for AI product development.


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Summary of Changes

Hello @petezhuang, I'm Gemini Code Assist1! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!

本次拉取请求引入了一份详细文档,阐述了将AIGC(AI生成内容)集成到Xbuilder平台Xpaint绘图功能中的策略和实现。该文档解释了将AI深度嵌入用户创作工作流的理念,选择专业AI模型进行矢量图生成的原因,以及为赋能缺乏艺术和提示词构建技能的年轻创作者而设计的复杂提示词工程系统。它涵盖了用户可见的交互元素和强大的后端自动化流程,这些流程将用户简单的想法转化为高质量、符合技术规范的矢量游戏素材。

Highlights

  • AI集成理念: 强调将AI深度融入用户交互逻辑,而非简单“引入”,重点关注用户需求和痛点,特别是针对缺乏美术技能的年轻创作者。
  • AI模型选择: 详细阐述了为生成矢量图(SVG)而测试各种通用大语言模型(如GPT-4、Claude 4、Gemini 2.5 Pro)和专业绘图模型(如Recraft v3/v2、svgio)的过程。结论是,为了高质量的SVG输出,必须使用Recraft等专业模型,通用大模型不适合此特定任务。
  • Prompt构建体系: 描述了一个全面的Prompt构建系统,通过用户可见的交互和后端自动化,克服用户提示词构建能力不足的问题。这包括前端的风格选择器、类IDE的提示词补全和即时图片反馈,以及后端智能分析、四层优化和上下文融合的三阶段自动化流程,将用户简单的输入转化为高质量、详细且符合技术规范的矢量图生成Prompt。
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Code Review

The pull request introduces a new markdown document detailing how AI is integrated into the Xpaint product. The document covers various aspects, including AI interaction within the user interface, AI model selection, and prompt engineering techniques. The review focuses on identifying potential areas for improvement in clarity and technical accuracy, as well as highlighting areas where the document could be more informative.

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medium

The phrase "AI赋能""AI融入" might be better expressed with a more descriptive term for clarity, especially for readers unfamiliar with this jargon. Consider replacing it with something like "AI-powered" or "AI-integrated".

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medium

The term "偷懒" might be perceived negatively. Consider rephrasing to something more neutral, such as "prioritizing ease of implementation" or "focusing on readily available solutions".

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medium

The phrase "Garbage in, garbage out." is a bit informal. Consider rephrasing to something like "The quality of AI-generated content is highly dependent on the quality of the input prompts." for a more professional tone.

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medium

Consider adding a brief explanation of what a "类IDE模式" is for readers who may not be familiar with the term.

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medium

For clarity, consider rephrasing "冰山一角" to something like "only the visible part of a larger system" or "just the initial step in a more complex process".

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medium

Consider rephrasing "主题增强 (Theme Enhancement)" to be more descriptive, such as "Content Enhancement (Theme Enhancement)" to better reflect the function.

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medium

Consider rephrasing "融入"产品, 而非简单"引入"的核心体现 to something like "integrating AI deeply into the product, rather than simply introducing it."

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medium

Consider rephrasing "翻译"和"拔高"为专业级的创作指令 to something like "translating and enhancing them into professional-grade creative instructions".


**引言:**

> 笔者作为前端工程师,目前的工作主要是在为开源游戏平台Xbuilder编写其精灵创作时的绘图功能。这个功能的基础是一个浏览器端编辑矢量图的功能。在此基础上,我们为其赋予了AI生成游戏素材的能力,让AI交互融入用户创作的过程中。
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Xbuilder -> XBuilder


2. **AI模型的选择**

现在的通用大语言模型(如chatgpt, google gemini)的性能是非常强大的,但是,他们能否胜任我们的需求呢?必须明确,我们的需求区别于传统的文生图,传统的文生图是生成png图像,或者说,生成位图。而我们的需求是生成矢量图(SVG)。这二者可谓天差地别。通用大语言模型生成位图的能力非常强,但是生成矢量图的能力则不一定了。所以,我们针对openAi
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名词的格式需要跟官方的一致,比如 ChatGPT 而不是 chatgpt,OpenAI 而不是 openAi

可以本地让 Copilot 之类的工具先帮助校正一遍名词的书写以及格式的细节。

gpt4, Claude 4, Google Gemini 2.5 pro, 以及专业绘图模型Recraft v3/v2,
svgio等多家模型商进行了测试。最终的结果表明,通用大模型在矢量绘图领域的能力是非常糟糕的。为了我们预期的用户体验,我们必须使用专业的生图模型。所以我们最后选择了recraft作为主要的供应商来进行图片生成。笔者认为,很多业务上盲目的追求通用大模型,对话式帮助,其实是一种"偷懒"的行为。因为引入LLM,拉一个对话框,其实是在产品和交互上偷了懒。一个优秀的产品必须从用户需求出发,我们作为开发者必须反思:新增的功能到底能不能解决用户的痛点需求?

**三、Prompt构建体系**
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@nighca nighca Sep 29, 2025

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跟上边 1、2 一致的话,这里应该是

Suggested change
**三、Prompt构建体系**
3. **Prompt构建体系**

另外标题尽量用 markdown 的标题来体现层级关系?


**3.1.2提示词**

我们构建了类IDE模式的提示词补全体系。我们预期的用户输入是简单的,基础的。对于一个6岁的孩子而言,他可能只能输出1-2个单词,你不可能指望孩子输出规范优雅的提示词。于是,我们在输入框中引入了补全体系。这个补全系统会根据用户的项目信息,结合小型大语言模型,对提示词进行强化和补全,从而在用户输入的过程动态的获取到更强大,规范,优雅的提示词。
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Nit: 说提示词是“优雅的”有点奇怪..一般的描述似乎是“清晰、准确、详细”之类

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