
reachpad: infrastructure for your coding agents
reachpad: 在浏览器中运行和监控编码代理的基础设施
sakuraiben · HN
Reachpad – Run all your coding agents from anywhere from the browser
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reachpad: 在浏览器中运行和监控编码代理的基础设施
sakuraiben · HN
Reachpad – Run all your coding agents from anywhere from the browser

在云devbox中监控和控制自主编码代理的平台。
pranav100000 · HN
Aether – Run Claude Code, Codex, or OpenCode in devboxes you can watch

Agent原生的TypeScript框架,在托管GPU上训练和部署定制模型。
@soleil_colza_ · X

学习工作方式的AI助手,将任务分配给30多个前沿模型。
@otakuaakash · X

基础设施平台,连接 AI agents 到 800+ OAuth 集成,支持沙箱代码执行。
abskrj · Product Hunt
Velane Cloud for your AI Agent's tools and functions

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-powered coding agent template supporting Claude Code, OpenAI Codex CLI, Cursor CLI, and opencode with Vercel Sandbox
@RudyNTech · X
Had a good chat with @AmirKodro, founder of vibe coding tool about how I'm a bit surprised we don't yet have something of a traditional business org chart with silo'd AI agent "employees". Lo and behold, today I come across @coderblock, which does exactly that! What do you think @AmirKodro?

Sequo — 将编码想法转化为结构化计划和文档,由AI代理执行。
u/SSShken · Reddit
I was the only dev at a startup that made it to revenue. Launched my own thing 3 days ago and 61% leave on the first screen The founders I worked with had already built one company that did well before I joined. I was the only developer on the second one, sitting next to them the whole way while it grew into something with real revenue. Watched how they made calls, what they refused to spend time on, how they decided what mattered. Figured I'd absorbed enough to do my own. Three days in, th

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

通过与AI代理交互的挑战来训练算法和编程技能。
u/Death12th · Reddit
Free consumer product, seat-based education product, enterprise assessment product. Same codebase. Is this survivable? Three motions off one core. Students practice free and generate cost, not revenue. Educators pay per seat. Hiring teams are the expensive product and the reason any of it matters. The free tier feeds both paid ones and that's the only thing justifying it. Education is slow, cheap, sticky. Hiring is faster, pricier, and churns the second the role gets filled. Billing got

用无代码可视化构建器和250+集成创建和部署AI代理工作流。
@Otogent · X
