Sergii Shilingov

Vue.js FrontEnd Developer

[shadcn @shadcn]

Today we're releasing a new set of components for building chat interfaces.

We've taken the patterns we build every day, rethought the abstractions behind them, and turned them into components you can compose and customize.

We're starting with the conversation layer: streaming, scrolling, messages, bubbles, attachments, and markers.

[Vite ⚡ @vite_js]

🚀 Vite 8.1 is out

⚡ Experimental Full Bundle Mode: ~15x faster dev server startup & ~10x faster full reloads on large apps
🧩 Chunk Import Map to keep chunks stable & improve caching
🦀 WASM ESM integration
💡 Lightning CSS on the road to default
👀 and more!

Blog post below.

[Bob @bobganiev]

First 24 hour stats of free @shadcn/ui Figma by ReUI.
- 20+ likes by Figma community
- 150+ people duplicated.
- @reui_io post about it blew up.

Couldn’t be more grateful. Thanks, everyone!
Way more to come! 🫡

https://t.co/bL36hi28dn

[Andrej Karpathy @karpathy]

This is a new paradigm for interacting with Claude that is significantly more "inline" with all the other human activity org-wide. Once you do all of the under the hood engineering work to make this "just work" (e.g. across tools, integrations, compute environments, memory, security, etc.), Claude basically joins the team in a seamless way - you can talk to it as you would talk to a person and it can help with a very large variety of workloads.

Imo this is the 3rd major redesign of LLM UIUX. The first paradigm was that the LLM is a website you go to, the second was that it is an app you download to your computer. This third one is that it is a self-contained, persistent, asynchronous entity with org-wide tools and context, working alongside teams of humans. It really takes a while to wrap your head around it, but it works and it is awesome.

[TypeScript @typescript]

📣 TypeScript 7's Release Candidate is now out! 📣

The new native port is almost here. Try it out on your codebases, and make sure your team is ready for the upcoming 7.0 release!

https://t.co/WBCvxYHoJX

[Movez @0xMovez]

Claude Code creator:

"100% of our pull requests at Anrtopic are run by Claude Code. 80–90% of code review too.

The feature I’m using the most today is /loops. I’m not prompting Claude anymore - I’m building loops"

in 1-hour interview, Boris reveals his setup, which helps him build the #1 coding tool of this year.

Worth more than a $500 vibe-coding course.

[Alex Danilowicz @alexdanilowicz]

Introducing a Design System Agent, powered by Fable 5.

Sync your components, typography, spacing, colors, rules.

Share with your team, design anything.

Watch me change everything within Duolingo's design system on @magicpatterns:

[Thariq @trq212]

Lots of people asked how I used Fable to edit its own launch video so I made a video about that!

TLDR it wrote a lot of code & tool calls to use transcription services, ffmpeg, do colorgrading, use the figma mcp, make remotion UI and render it.

I didn't touch a video editor.

[Boris Cherny @bcherny]

We talk a lot about how important it is to set up self-verification loops. Especially in the age of powerful models that can run for long periods of time, self-verification is a key ingredient that enables the model to run for much longer, delivering a result that is closer to what you intended, so you can do more without having to constantly check in on Claude as it works.

@delba_oliveira gives a great breakdown of what that looks like and why it matters

[Nuxt @nuxt_js]

Meet Nuxi 💚

Our AI assistant on https://t.co/yNaJyLcNP3 now has a name, and a face.

Sign in with GitHub and Nuxi remembers you:
✨ Conversations saved across devices
🌿 Branch chats to explore different directions
🔗 Share helpful threads publicly
📚 Grounded in official docs, modules, and the entire ecosystem

Open it anywhere with ⌘I or visit /dashboard/chat

https://t.co/PxJUDzZbnj

[Boris Cherny @bcherny]

Coding is just one part of engineering. There’s also debugging, operating services, scaling up infrastructure, deciding what to optimize, setting up hardware and capacity, talking to users, product planning, etc. Coding is the easy part, everything else is not yet solved (but is also becoming increasingly automated).

[Andrej Karpathy @karpathy]

Personal update: I've joined Anthropic. I think the next few years at the frontier of LLMs will be especially formative. I am very excited to join the team here and get back to R&D. I remain deeply passionate about education and plan to resume my work on it in time.

[Elon Musk @elonmusk]

🤨

[Dave Jeffery @DaveJ]

Ask Claude to document and describe the main flows in your app and output in a single page html + json data file.

Incredibly useful for humans and the JSON file is very useful for explaining the flow to the LLM when working on new features/bugfixes.

[Shuh @shuxer]

Working on Billing flow for @reui_io Pro.

[Andrej Karpathy @karpathy]

This works really well btw, at the end of your query ask your LLM to "structure your response as HTML", then view the generated file in your browser. I've also had some success asking the LLM to present its output as slideshows, etc.

More generally, imo audio is the human-preferred input to AIs but vision (images/animations/video) is the preferred output from them. Around a ~third of our brains are a massively parallel processor dedicated to vision, it is the 10-lane superhighway of information into brain. As AI improves, I think we'll see a progression that takes advantage:

1) raw text (hard/effortful to read)
2) markdown (bold, italic, headings, tables, a bit easier on the eyes) <-- current default
3) HTML (still procedural with underlying code, but a lot more flexibility on the graphics, layout, even interactivity) <-- early but forming new good default
...4,5,6,...
n) interactive neural videos/simulations

Imo the extrapolation (though the technology doesn't exist just yet) ends in some kind of interactive videos generated directly by a diffusion neural net. Many open questions as to how exact/procedural "Software 1.0" artifacts (e.g. interactive simulations) may be woven together with neural artifacts (diffusion grids), but generally something in the direction of the recently viral https://t.co/z21CP5iQfu

There are also improvements necessary and pending at the input. Audio nor text nor video alone are not enough, e.g. I feel a need to point/gesture to things on the screen, similar to all the things you would do with a person physically next to you and your computer screen.

TLDR The input/output mind meld between humans and AIs is ongoing and there is a lot of work to do and significant progress to be made, way before jumping all the way into neuralink-esque BCIs and all that. For what's worth exploring at the current stage, hot tip try ask for HTML.

[Shuh @shuxer]

Building blocks for @shadcn cCommerce apps. Coming soon for @reui_io Pro!

[Addy Osmani @addyosmani]

https://t.co/FSx0reCCLH

[Thariq @trq212]

https://t.co/MXt5XS4xBX

[ClaudeDevs @ClaudeDevs]

/radio