AI 智能体4 days ago
Outside Agent
使用 Claude Code 构建可通过 SMS 与外部系统交互的 AI agent。
jacobgc · HN
Outside Agent – Build SMS Agents from Claude Code
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使用 Claude Code 构建可通过 SMS 与外部系统交互的 AI agent。
jacobgc · HN
Outside Agent – Build SMS Agents from Claude Code
选择技术栈快速生成配置好的SaaS启动项目GitHub仓库
madhudollu · Product Hunt
SupaBoot — SaaS + AI starter kit Choose your stack. Get a production-ready GitHub repo. ⭐
自主AI工作空间，能研究、编码、分析数据、操作浏览器。
@WorkFarOfficial · X
用 flashcards、测验和 AI 辅导学习编程技能，基于记忆科学。
@mkappworks · X
I am building lets connect
Continuum是统一的AI聊天与编程应用，支持Claude、Grok等100+模型。
@ContinuumCode · X
VanillaPad - 编辑和预览HTML应用的移动工作区，支持ChatGPT、Claude和Gemini。
u/heisenberg2995 · Reddit
I built a mobile workspace to edit and preview the HTML apps ChatGPT/Claude write for you. Hey everyone! I built VanillaPad , a mobile workspace for building simple HTML/CSS/JS projects. 👉 https://vanillapad.dev The idea came from something I kept running into. Sometimes I'd need a simple utility app or a quick landing page or to test a little game idea. Getting the initial code written was easy since I could just ask ChatGPT or Claude on my phone. The hard part came af
将对话转化为已验证的API架构和规范。
@NeuralArchitec · X
Vibe coding a smart wallet is high-stakes. One logic gap and the funds are gone. We bridge that risk by turning messy vibe thoughts into verified schemas and API maps. Build fast, stay precise. 🏛️
用AI引导设计移动应用，导出生产级React组件。
@DolfySocial · X
Vibe coders design for one screen size, then panic when a tablet or a small phone breaks the layout. Dolfy's token spec scales spacing and type proportionally, so screens hold up at every breakpoint without a second design pass. #mobiledev #vibecoding
用AI自动将设计图转换成可用代码。
@AnimaApp · X
Image to code in 1 minute - 20x faster than Claude Code and with much higher fidelity. Try it at and let us know how we did 🤘
FizzBee 是 AI 需求工程师，为编程 agent 生成经过验证的规格说明。
jayaprabhakar · HN
I've been building an open source formal methods system (fizzbee.io) for the past few years. Today I'm launching a new app built on the same technology. It performs requirements engineering using formal verification to uncover gaps and produce precise instructions for your coding agents to follow. When given a prompt, it - asks high signal follow-up questions - converts to formal spec and identifies complex requirements gaps - generates validation scenario At the end, it produces a specification document that can be shared with coding agents. In my trials on various projects, it produces working code in fewer iterations. Please give it a try and share your feedback. https://fizzbee.ai/ You can also look at a sample project. https://fizzbee.ai/projects/94bf2869-97a1-445c-8f5d-4445848b...
编写人类和AI都能理解的功能规范的开源工具。
@spec_tacul_ar · X
Specifications for humans and AI.