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TanStack Devtools just migrated to Oxc parser + magic-string!🚀 The results: 📌 Per-file transform: 1.65 ms → 0.46 ms 📌 Full pass: 75.73 ms → 21.25 ms 📌 Speedup: 3.56×

TanStack Devtools just migrated to Oxc parser + magic-string!🚀 The results: 📌 Per-file transform: 1.65 ms → 0.46 ms 📌 Full pass: 75.73 ms → 21.25 ms 📌 Speedup: 3.56×

92,302 次观看

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MCP tools have only ever returned text for the model to read. Now they return interactive UI. 🪄 TanStack AI's new MCP Apps support renders ui:// widgets right in the chat - static or fully interactive, with a client/server bridge.

MCP tools have only ever returned text for the model to read. Now they return interactive UI. 🪄 TanStack AI's new MCP Apps support renders ui:// widgets right in the chat - static or fully interactive, with a client/server bridge.

131,749 次观看 • 24 天前

New in TanStack Start: Deferred Hydration. Choose when selected parts of your app hydrate, like when they become visible, get interacted with, or the browser goes idle.

New in TanStack Start: Deferred Hydration. Choose when selected parts of your app hydrate, like when they become visible, get interacted with, or the browser goes idle.

149,541 次观看 • 2 个月前

TanStack AI runs coding agents in a sandbox now 📦 Agents: Grok build, Claude Code, Codex, OpenCode, or any ACP agent Sandboxes: Cloudflare, Docker, Local, Daytona or Vercel sandboxes Fully configurable sandboxes with skills, mcps and more! 🚀

TanStack AI runs coding agents in a sandbox now 📦 Agents: Grok build, Claude Code, Codex, OpenCode, or any ACP agent Sandboxes: Cloudflare, Docker, Local, Daytona or Vercel sandboxes Fully configurable sandboxes with skills, mcps and more! 🚀

41,788 次观看 • 20 天前

New in TanStack Router: more control over dynamic route params. Use params.parse to accept or skip a candidate, with priority for overlapping dynamic params.

New in TanStack Router: more control over dynamic route params. Use params.parse to accept or skip a candidate, with priority for overlapping dynamic params.

118,425 次观看 • 2 个月前

New in TanStack Start: route-aware CSS inlining. Inline initial route CSS during SSR to reduce blocking stylesheet requests and improve FCP.

New in TanStack Start: route-aware CSS inlining. Inline initial route CSS during SSR to reduce blocking stylesheet requests and improve FCP.

91,258 次观看 • 2 个月前

Your AI stack just stopped being closed. 🔓 TanStack AI now speaks AG-UI client-to-server. - The same client hits any AG-UI server. - Any AG-UI client hits a TanStack server. Zero breaking changes. Migration guide in the tweet below 👇

Your AI stack just stopped being closed. 🔓 TanStack AI now speaks AG-UI client-to-server. - The same client hits any AG-UI server. - Any AG-UI client hits a TanStack server. Zero breaking changes. Migration guide in the tweet below 👇

79,086 次观看 • 2 个月前

30 seconds of spinners is not great UX. 🌀 @tanstack/ai now streams structured output straight into useChat. Pass a Zod schema, get a typed `partial` and `final` for free. ✨ Blog post link below 👇

30 seconds of spinners is not great UX. 🌀 @tanstack/ai now streams structured output straight into useChat. Pass a Zod schema, get a typed `partial` and `final` for free. ✨ Blog post link below 👇

74,512 次观看 • 2 个月前

Every AI audio provider ships a different SDK. TanStack AI just unified them. Gemini Lyria, fal MiniMax, Stable Audio. Same streaming call, any model. Typed. Tree-shakeable. Hooks for React, Solid, Vue, Svelte. Try it → Blog 👇

Every AI audio provider ships a different SDK. TanStack AI just unified them. Gemini Lyria, fal MiniMax, Stable Audio. Same streaming call, any model. Typed. Tree-shakeable. Hooks for React, Solid, Vue, Svelte. Try it → Blog 👇

88,933 次观看 • 2 个月前

TanStack AI now runs on react-native! 🚀 Stream down to mobile devices with ease using fetch + polyfills or XHR transports! Try it out with the latest releases!

TanStack AI now runs on react-native! 🚀 Stream down to mobile devices with ease using fetch + polyfills or XHR transports! Try it out with the latest releases!

45,259 次观看 • 1 个月前

MCP support in TanStack AI is here! 🚀 🌴 One MCP server or many 🌴 Standalone clients or pooled servers 🌴 CLI for typegen 🌴 Managed lifecycle via chat or complete control Read the full blog post below 👇

MCP support in TanStack AI is here! 🚀 🌴 One MCP server or many 🌴 Standalone clients or pooled servers 🌴 CLI for typegen 🌴 Managed lifecycle via chat or complete control Read the full blog post below 👇

33,865 次观看 • 1 个月前

We just released a new version of TanStack AI! 🚀 In today's release we have added client/server context for tools and middleware. Plug it into your useChat/chat and have it available, fully typesafe out of the box. 🔥

We just released a new version of TanStack AI! 🚀 In today's release we have added client/server context for tools and middleware. Plug it into your useChat/chat and have it available, fully typesafe out of the box. 🔥

33,646 次观看 • 1 个月前

Every TanStack package used to share the same generic OG image. Not anymore. 🔥 - 17 libraries. 34 themed cards. - Brand color per package. - Rendered on demand. Live now → 🟢

46,753 次观看 • 2 个月前

How do you trace an AI image or video call generation? Same way you trace chat. You already wrote otelMiddleware() for chat. Drop the same value into media generation hooks and get full tracability. No new API required. 🔭

How do you trace an AI image or video call generation? Same way you trace chat. You already wrote otelMiddleware() for chat. Drop the same value into media generation hooks and get full tracability. No new API required. 🔭

17,630 次观看 • 28 天前

Your AI chat vanishes on every page reload? 🔄 TanStack AI just shipped a persistence option: pass one adapter and conversations hydrate on load, save on change, clear on reset. localStorage, IndexedDB, anything.

Your AI chat vanishes on every page reload? 🔄 TanStack AI just shipped a persistence option: pass one adapter and conversations hydrate on load, save on change, clear on reset. localStorage, IndexedDB, anything.

25,087 次观看 • 1 个月前

We are excited to announce the arrival of our most requested adapter! 🚀 OpenRouter adapter lands in TanStack AI with over 300+ models for you to play with! 🔥 Try it out with the latest version today!

We are excited to announce the arrival of our most requested adapter! 🚀 OpenRouter adapter lands in TanStack AI with over 300+ models for you to play with! 🔥 Try it out with the latest version today!

68,174 次观看 • 5 个月前

Demo of full offline flow

Demo of full offline flow

47,807 次观看 • 3 个月前

Type-safe provider tools land in TanStack AI 🧩 🔒 Tools are validated per model ⚡ Invalid combos fail at compile time 🧠 No more silent fallbacks The typesafety you deserve. Blog ↓

Type-safe provider tools land in TanStack AI 🧩 🔒 Tools are validated per model ⚡ Invalid combos fail at compile time 🧠 No more silent fallbacks The typesafety you deserve. Blog ↓

34,849 次观看 • 2 个月前

Your AI stream is a black box. 🕳️ One flag in TanStack AI and every chunk, middleware hook, and tool call prints itself for easy debugging. 🔥 No OpenTelemetry. No dashboard. No platform. chat({ ..., debug: true }) 🚀 Blog 👇

Your AI stream is a black box. 🕳️ One flag in TanStack AI and every chunk, middleware hook, and tool call prints itself for easy debugging. 🔥 No OpenTelemetry. No dashboard. No platform. chat({ ..., debug: true }) 🚀 Blog 👇

33,891 次观看 • 2 个月前

One adapter. Every OpenAI-compatible provider. 🔌 openaiCompatible({ baseURL, apiKey, models }) Connects DeepSeek, Kimi, Together, Fireworks, Qwen, local LM Studio/vLLM, and more. Type-safe model unions, no package per vendor. 🚀

One adapter. Every OpenAI-compatible provider. 🔌 openaiCompatible({ baseURL, apiKey, models }) Connects DeepSeek, Kimi, Together, Fireworks, Qwen, local LM Studio/vLLM, and more. Type-safe model unions, no package per vendor. 🚀

19,743 次观看 • 1 个月前

A tool returns an image of a secret number. The model reads it back. 👁️ TanStack AI now supports multimodal tool results: return an Array<ContentPart> with an image part and the model sees the actual pixels - not a stringified blob.

A tool returns an image of a secret number. The model reads it back. 👁️ TanStack AI now supports multimodal tool results: return an Array<ContentPart> with an image part and the model sees the actual pixels - not a stringified blob.

16,098 次观看 • 1 个月前