
Aether: Not a black box. A devbox.
在云开发盒中观看和操控自主编码代理,使用 Claude Code、Codex 或 OpenCode。
pranav100000 · HN
Aether – Run Claude Code, Codex, or OpenCode in devboxes you can watch
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在云开发盒中观看和操控自主编码代理,使用 Claude Code、Codex 或 OpenCode。
pranav100000 · HN
Aether – Run Claude Code, Codex, or OpenCode in devboxes you can watch

在您的代码仓库中部署 autonomous coding agents,并通过 multi-model routing 构建 AI 应用程序。
@LeeLeepenkman · X
nice im working on lots of AI stuff so right now :)

从文本提示自动生成、构建和部署完整项目的AI代理。
@liquidated0x · X
building an AI coding agent that ships full projects from a prompt — if you're if you're curious

将 SEO 优化集成到 Claude Code 和其他 AI 编码代理中。
Sharanxxxx

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

用 AI 代理自动改进代码库并生成合并就绪的 PR。
@javimosch · X

Aethereum 为 AI 编码代理提供协调层,让它们在共享代码上协作而不产生冲突。
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

在统一终端中同步管理多个AI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


比较 git、Jujutsu 和 GitButler 在 Claude Code 和 Codex 代理上的性能。
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

用于构建网站、编写代码和处理复杂任务的 Agentic AI 助手。
@durdom_evm · X
Chinese team at just dropped ZCode 3.0 and it's quietly reshaping the agentic coding landscape while everyone's waiting on Anthropic's roadmap here's what matters: GLM-5.2 is trading blows with Opus 4.8 on the benchmarks that actually count. 81.0 vs 85.0

AI 团队工具,帮助创作者构建和部署应用
@daogangtang · X
my claw team to help creators/OPC ship their app without the tech team. We help them build, deploy, and auto scale.