
AgentsRoom: multi-project & multi-agent orchestration, a terminal & IDE reimagin
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
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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

管理学术会议:提交和审阅论文、处理日程安排和注册。
@harryjwang · X
I've used many of the major conference systems. Plenty still have docs as an unsearchable static site — or worse, as PDFs that stopped tracking the product three versions ago. Somehow, still true in 2026. We took an AI-first path with instead. Our docs are generated from the codebase itself. A custom Claude Code skill writes each page and retakes the screenshots whenever a feature changes — so the docs don't drift from the product. Every page still gets reviewed by a human before it ships. Now you can talk to them, too. We just shipped "Ask AI" over our docs: This feature also turned out to be a nice teaching case for agentic RAG vs. classic RAG: • Classic RAG: chunk → embed → vector DB → retrieve once, by fixed rules • Agentic RAG: hand the model a search tool and let it drive — write a query, read the results, rewrite, retry At more than 100 pages, still no vector database needed. And every answer cites the exact page it came from. #Age


在浏览器中持续运行和管理编码代理的平台。
sakuraiben · HN
Reachpad – Run all your coding agents from anywhere from the browser

通过AI驱动的模拟和专家反馈练习系统设计面试。
@ShashankCode · X
Checkout here :

AI代理技能的发布与发现平台。
kubeden · HN
Generalized – AI agent skills with community proof

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