
Your Agent Built It. Ship It.
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
完整作品展
技术栈
60 projects

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

将 AI 编码代理的运行转录可视化为交互式图表。
u/Express-Phase1532 · Reddit
rungraph - see what your coding agent actually did, as an interactive graph (open source) My coding agent kept doing 20 minutes of work I couldn't inspect afterward. The transcript exists (Claude Code and Codex CLI write everything to disk), but nobody reads 4,000 lines of JSON. So I built rungraph, open source and free (MIT). npx rungraph turns every session on your machine into a clickable graph: your prompts run down the spine, subagents get their own lanes, and it flags stuff like ret

用AI驱动的代理团队创建和部署应用
@daogangtang · X
my claw team to help creators/OPC ship their app without the tech team. We help them build, deploy, and auto scale.

在智能体原生云笔记本中运行和评估ML工作流。
eldar_hsnv · HN
Show HN: AI Notebook for Data Science – Kind of Like Cursor but for Jupyter

对版本控制系统和编码代理进行性能基准测试。
videlov · HN
I was interested in answering this question so I built a benchmark comparing git, jj and gitbutler in agentic context https://vcbench.dev/ Disclaimer - I am a co-founder of GitButler

AI实时协作编辑器,支持文件共享、UML图表和群决策。
u/Hopeful-Can-1540 · Reddit
Trying to figure out distribution for a real-time collaboration tool LiveShareIt has been around for a bit, and the product has changed quite a lot recently. The basic idea is pretty simple: open a room, share the link, and start working together. No signup needed. People can share code/text, send files, use a collaborative whiteboard, and jump on a video call in the same room. One feature I’ve been playing with lately is the AI whiteboard. Instead of starting from a blank canvas, you

在加密工作区中与 Claude Code 和 Cursor 等 AI 代理共享文件和日志。
@Raullen · X
6 months ago, @qevan and I hit a stupid wall: just trying to share a local file or some logs with an AI agent was incredibly frustrating. So, we built the first version of —a dead-simple, secure way to pass context to AI. The community feedback was amazing. We got ~200 stars on GitHub, and it quickly became a daily driver for a lot of developers. But recently, we realized the game has changed. Our workflows evolved. It’s no longer just humans sending files to agents. Agents need to write back to humans. Agents need to hand off context to other agents. The whole team—human and AI—needs to collaborate. So, we gave vnsh a massive upgrade. Today, it’s no longer just a secure clipboard. It’s now a living workspace. 🚀 You drop your context in once and get a dynamic link. Claude Code, Cursor, Cline, and your human teammates all open the exact same document. When one agent updates it, your whole stack sees it instantly. Complete context handoff, without ever copy-pastin

在多个AI编程环境中部署编排器生成和管理代理。
@EnzoV_sc · X
I’ve built a skill for agent orchestration so I don’t have to explain any session how to manage the next task. Pretty useful Through I can make my orchestrator spawn as many agents as it needs, from all harnesses (Claude Code, Codex, Grok Build etc..)

为编程智能体提供云环境,运行代码、验证结果并提交拉取请求。
@smehmood · X
Several customers of ours have factories shipping 100s of PRs to 1000s of B2B customers, built on But they all remind me of the pre-Claude-Code agents that had overly static workflows. Not sure what, yet, but something else is the future.

向AI团队负责人分配任务,由其调度AI专家完成工作。
@StevenCen75554 · X
我们最新推出的 Product Hunt 上线了! 专为电商团队而生,让你只需一句话,就能拥有一整支 AI 团队——写SEO Blog、做用户调研、优化Listing、生成AI短视频,全都不在话下。不用招人,不用在一堆工具间来回切换,只需要说出你想要什么。 专为想要「一个人打出一支团队的仗」的电商运营团队打造。 如果这个理念打动了你,今天的一个 upvote 对我们来说意义重大 🙏 #ProductHunt #BuildInPublic #AIAgents #IndieHackers

通过REST API在云端运行Claude Code代理,流式获取执行结果。
karakanb · HN
Epho – run Claude Code with a curl

协调多个 AI 编码代理在共享代码上工作,无冲突无需登录。
u/KangarooPitiful594 · Reddit
I built Aethereum: a team coordinator for AI coding agents (free beta) the simple version: if your team codes with AI agents, aethereum keeps them coordinated so you ship faster. everyone runs whatever agent they like (claude code, cursor, codex, cline, zed) and they all join one room. agents see what each other is building, get warned before breaking each other's changes, and can share code between machines end to end encrypted. when two agents want different API shapes they negotiate it b