🌈 A UI Design Language and React UI library
Joined December 2017
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Ant Design retweeted
Bun has always been the fastest package manager in my mind.
We were excited to find that utoo achieved even better install performance.
Thanks to @bunjavascript and @jarredsumner for the open-source inspiration.
see more: utoo.land
#utoo #utooland
Ant Design retweeted
Just so you know, Ant Design(@AntDesignUI ) is now built by utoopack(github.com/utooland/utoo) (Rust-based bundler built on Turbopack)
Ant Design retweeted
A new milestone for Ant Design!🎉 react.foundation/impact#libr…
Ant Design is a complete design ecosystem for enterprise-level products, dedicated to building better user experiences across web, mobile, and beyond
#opensource #ReactJS
🎨Explore Ant Design: github.com/ant-design
Ant Design is now part of the React Foundation Supported Ecosystem 🎉 @reactjs @sethwebster
github.com/react-foundation-…
Ant Design retweeted
🚀 Proud to release utoo 1.0.10
✅ Inspired by @pnpm & @bunjavascript
✅ Respects package‑lock.json
✅ Human‑readable cache stores
✅ npmmirror server‑semver, even faster than bun 😋
🎉 Try it → utoo.land #Rust #PackageManager #Utoo
Ant Design retweeted
We don't have any publicly available articles introducing utoo yet, but they will be soon. It's already been implemented in several projects within Ant Group, and it's integrated into Ant Financial's open-source umi framework, and is enabled by default in the ant-design-pro.
Ant Design retweeted
Ant Design 官方出了个 CLI 工具 @ant-design/cli，专门给 AI Coding Agent 用的。
装上之后，Claude Code / Codex / Gemini CLI 在写 antd 代码之前会自动查 Props、Token、Demo，而不是靠 LLM 的记忆瞎猜。
为什么需要这个？
LLM 有知识截止日期，antd 每个版本 API 都在变。你让 Claude 帮你写 Select 组件，它给的 dropdownClassName 在 v5 已经改成 popupClassName 了。有了这个工具，Agent 会先跑一句 antd info Select --format json，拿到精确 API 再动手写代码。
几个亮点：
1. 完全离线 — 所有元数据随包安装，无网络、无 API Key，毫秒响应
2. 55+ 版本快照 — 覆盖 v4 / v5 / v6 每个 minor 版本，可以查「[email protected] 那时候的 Button 有没有 variant 这个 prop」
3. 13 条命令 — antd info（Props）、antd demo（Demo 源码）、antd token（Design Token）、antd doctor（项目诊断）、antd migrate（v4→v5 / v5→v6 迁移清单）、antd lint（deprecated API 检查）……
4. Agent Skill 一键集成 — npx skills add ant-design/ant-design-cli，Claude Code、Cursor、Gemini CLI 直接识别
5. 版本号跟 antd 对齐 — 现在是 6.3.4，数据每天自动从 antd 源码同步
有意思的设计细节：打包时数据文件自动 gzip 压缩，136MB → 25MB；输出严格 stdout/stderr 分离；错误信息带修复建议，输入 Buttn 会提示「你是不是要找 Button？」
这个方向挺有意思 — AI 时代的组件库，光有组件不够，还得有让 Agent 能准确调用的配套工具层。
github.com/ant-design/ant-de…
Shipped @ant-design/cli 🚀 Query Ant Design props, tokens, changelogs & run project-wide lint/migration, fully offline. No network calls, no API keys. Covers v4/v5/v6 👉 github.com/ant-design/ant-de…
Ant Design retweeted
我 7 年前就抢注了 create-antd-app 这个 npm 包，想着用来一键创建 ant design 项目，可惜一直没开发（骚瑞
今天一下午终于搞完了，现在你可以 npx create-antd-app
就可以创建一个 antd + vite + react + tailwindcss v4 + eslint v9 + prettier + ts 最佳实践项目 ⚡️
github.com/nanxiaobei/create…
Ant Design retweeted
🚀 Utoo landing page is live! utoo.land
Built on Turbopack’s elite architecture, Utoo now powers Ant Group’s ecosystem. We remain committed to open collaboration.
Huge thanks to @vercel for empowering us! 🤝
#Utoo #Turbopack
Ant Design retweeted
看了下 @AntDesignUI 官网数据，25 年流量同比下降了11.8%，但 npm 包下载量依旧连年上升，同时 AI 爬虫的访问量直线上升。这意味着 antd 可能没有因为 AI 和 Vibe Coding 的流行而变得没人用，但人们可以直接通过 AI 来使用你的工具，而不需要访问网站来阅读文档了，依赖老流量模式的商业模式玩完了
ALT antd 官网 2025 年流量同比下降了11.8%
ALT npm 包下载量依旧连年上升
ALT AI 爬虫的访问量直线上升
Ant Design retweeted
#utoo repl utoo-repl.vercel.app/ now supports to run webpack loaders in browser. Thanks to the great idea of @wSokra and all helps from #turbopack upstream.
Ant Design retweeted
Yeah, we even build a new bundler called utoo for the Framework: github.com/utooland/utoo (which was built on top of turbopack by next.js team)
It will release a stable version for the framework this month: github.com/umijs/umi/pull/13…
Ant Design retweeted
支付宝开源首个将 UI 理解与 UI 生成两大核心能力统一起来的 UI 领域垂类多模态大模型 UI-UG（A Unified MLLM for UI Understanding and Generation）。
mp.weixin.qq.com/s/HEIGI79hi…
Ant Design retweeted
🚀 Ling-1T — Trillion-Scale Efficient Reasoner
Introducing Ling-1T, the first flagship non-thinking model in the Ling 2.0 series —
1 Trillion total parameters with ≈ 50 B active per token, trained on 20 T+ reasoning-dense tokens.
Highlights
→ Evo-CoT curriculum + Linguistics-Unit RL for scalable reasoning
→ Strong efficiency–accuracy balance on complex reasoning tasks
→ Advanced visual understanding + front-end code generation via Syntax–Function–Aesthetics reward
→ Emergent tool-use ability (≈ 70 %) with minimal instruction tuning
→ FP8 mixed-precision + Ling Scaling Law → efficient trillion-scale training
Efficient Thinking · Precise Reasoning
Ling-1T extends the Pareto frontier of reasoning accuracy vs. cost —
a new milestone in open-source trillion-scale intelligence.
