
MuseUI - AI Interface Generator
开源 AI 画布工具,可在浏览器中生成 UI 原型、文章封面、Logo、贴纸和社交媒体配图。
MuseUI — 开源的纯浏览器运行的 AI 画布式图片工作台,可生成 UI 原型、文章封面、信息图、Logo、贴纸、社交媒体配图
完整作品展
技术栈
4 projects

开源 AI 画布工具,可在浏览器中生成 UI 原型、文章封面、Logo、贴纸和社交媒体配图。
MuseUI — 开源的纯浏览器运行的 AI 画布式图片工作台,可生成 UI 原型、文章封面、信息图、Logo、贴纸、社交媒体配图

具有重新设计评论界面的社交平台。
@Asifansari6767 · X
Redesigned the comments page for Mews. The old one was vibe coded. Charcoal texts and bg everywhere. Everything inside cards. Very outdated design. let me know what you think of it. website: #vibecoding #uiux #productdesign

捕获UI元素及其代码上下文,与AI代理分享以调试视觉缺陷。
Loerei · HN
I found that describing where a broken UI is and taking screenshots for AI agents really sucks. I’m too lazy to explain an indescribable visual bug or capture a millisecond-long flash. I also don’t want to remember which file defines an element, whether it's right in the .tsx or a problem with the Parent Styles in .css. And even if you can point out the exact file, your agent still has to dig through thousands of lines of code to know what on earth you're yapping about. In a 7700-file monorepo like Cal.com, simply giving the right file in the prompt for your agent saves about 68.9% of execution time and 94.2% of the tokens your agent needs to digest. HoverSource gives all the needed information and further pushes it to -88.5% time and -94.5% tokens, basically skipping the entire digging session and jumping straight to reasoning and executing. The save is linear to how big your codebase is. I want to save tokens, but don’t want to spend my time and energy digging manually, and a junio
