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13 projects


为AI应用提供MCP服务器、REST API和行级安全的后端服务平台。
u/bob__io · Reddit
What we learned from trying to turn vibe-coded prototypes into production SaaS applications Founder here. While developing MCPBackend, we noticed a major difference between generating a convincing application demo and building a maintainable SaaS product. AI coding tools are increasingly capable of generating interfaces, routes and even initial application logic. But a production application still needs: a reliable data model authentication and authorization backend validation

Visual Wizard 是一个视觉工作空间,与编程AI代理实时设计工作原型。
u/tokmako · Reddit
I am developing an alternative work environment to Claude Design. When I first tried Claude Design, I really liked the idea. But after generating a design, I kept wanting a more direct way to continue working on it not as a separate design representation, but as a live, working interface. That’s what I’m building with VisualWizard. The canvas contains real, interactive prototypes. You can select elements directly, move or resize them, change styles, and keep interactions and


NodeESP是ESP32的可视化编程工具,通过节点拖拽创建GPIO逻辑和MQTT工作流。
@NodeESP · X
- Project for sale

免费前端开发工具,包括CSS生成器、图像压缩等功能。
@iamdeepak89 · X

Formserve是静态网站和AI应用的表单后端,捕获提交并路由到你的工具。
@AbhilashVeettil · X

将自然语言描述转换为生产就绪的后端API和服务
u/yousefemz · Reddit
18 months ago we weren't sure it was possible. Today we launched it. We kept asking ourselves one question for a year and a half: can an AI actually design a scalable backend from a description of how it should behave, not demo-ware, something that holds up in production? We didn't know. Some weeks it felt like the answer was no, or that we'd end up with code that looks right and falls apart the second real traffic hits it. We just launched it. You describe how your backend should behave,


在可视化画布上设计生产级 AI 智能体。
@salmanzafar949 · X


让AI模型通过3D动画展现香蕉植物的完整生命周期来比较性能。
fran-mora · HN
I gave 5 AI coding agents one prompt: grow a banana plant through its whole life in three.js: sprout, leaves, flower, fruit, rot, then pups that restart the loop. It's deceptively simple and yet very hard to get right from procedural code: you have to write working three.js and understand how the plant is actually built; how it hangs, ages and decays. Get the biology wrong and the code renders something weird. These are agents, not bare models (Claude Code and Codex for now). They can use tools, including playwright to check their work and improve it.