AI 智能体2 weeks ago
EdgeX11 — Build Your Digital Engineering Workforce
AI驱动的工程团队，规划、构建、测试和交付代码，由人类监督。
@edgex11lz · X
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22 projects
AI驱动的工程团队，规划、构建、测试和交付代码，由人类监督。
@edgex11lz · X
使用AI代理团队构建和部署应用程序。
@daogangtang · X
my claw team to help creators/OPC ship their app without the tech team. We help them build, deploy, and auto scale.
自动在多个平台部署应用的AI智能体。
Aarav03790 · HN
I made AI agent that deploys your thing on diff plats automaticaly
为现代团队自动化负载测试，无需复杂设置或手动脚本编写。
@GorodkovVi85373 · X
- load testing made easy even without enginnering team. Faster, cheaper, distributional
用AI代理自动部署您的代码仓库到生产环境。
salsta1 · HN
Nexlayer – Paste a repo. The agent analyzes, builds and deploys it
在发布前扫描 AI 应用的身份验证、API 和部署风险。
keeptahoeblue · HN
A pre-launch scanner for AI-built apps (it scores itself 60/100)
在统一终端界面中协调多个 AI 编码代理和项目。
@soracstv · X
I run my AI coding agents with AgentsRoom, a visual command center for multi-agent development. @AgentsRoomDev #VibeCoding #AI
为 AI 代理分配任务和管理依赖关系的优先级工作队列平台。
Olscore · HN
Pullboard – a work queue for agents, built to run a quant desk
部署400+开源工具到9个云提供商中任意一个。
@Dil_Lynn · X
用一行代码部署强大的 AI 模型，享受业界最具竞争力的 GPU 价格。
Synexa AI — 一行代码部署 AI 模型 (Replicate 50% 低价平替)，Synexa 是运行无服务器 AI API 最具性价比的解决方案，提供业界最具竞争力的 A100 GPU 价格，相比其他服务商可节省高达 62% 的 AI 算力成本 - [更多介绍](https://github.com/1c7/chinese-independent-developer/issues/47
用英文描述想法，QuikRun自动生成代码并提供实时URL。
nparashar150 · HN
Over the weekends, I've been revamping an old side project of mine: https://quik.run/?ref=yc It started as a simple platform for writing and sharing code snippets. Over time, it evolved into a way to run snippets instantly with support for imports and packages, without worrying about setup, deployment, or infrastructure. Think of it as a lightweight AWS Lambda for quick experiments. One thing I've realized is that even though AI has made a lot of older developer tools and ideas feel less relevan
