i was complaining about this some time ago. I love that this has been implemented <3 @FotMob x.com/__Sun__/status/2033983…

humanity, technology, music, social media all peaked on June 6, 2021. It all went downhill from there

I haven't been this excited building a thing for a VERY long time. Maybe even more excitement than when I was building Vite.

Announcing Oxfmt: Oxc Formatter Alpha oxc.rs/blog/2025-12-01-oxfmt…

this is kinda crazy @warpdotdev github.com/warpdotdev/Warp/i…

Today would have been Daniel Naroditsky’s 30th birthday. It’s still hard to believe he’s gone. I’m grateful for the memories, his brilliance, his humor, his kindness, and the impact he made on so many. His legacy will live on. Miss you, Danya.

RIP Danya 🖤

Same in Vue for reference / comparison: - main setup code runs once - no need for `useEffectEvent` (tbh I don't understand why the React example needs it) - no need to manually specify effect dependency - no need for separate handling of prop change / unmount branches (compared to Remix 3) Mental model will be similar in other signal-based frameworks (Solid, Svelte 5) Personally I still think React is the hardest to reason about, Remix being the most explicit but too manual, signal-based reactivity hits the right balance.

Mauritius not even in the list of countries xD uefa.com/news-media/news/029…

what if the tech world evolved where when you need to use keyboard layers, like "ctrl p" OR "cmd k", you would press the "c" key with two fingers instead of holding two buttons 🤔 it would unlock one-handed, multi-layer access, especially for power users. ok bye.

lol

don’t trust influencers so much friends

we hooked up GPT5 to @builderio and the results are… disappointing not planning to release it, we prefer to give our users a consistently good experience and stick to Claude models

I still remember the tweet, i was there 🥸 x.com/youyuxi/status/1252173…

We gotta tune the AI hype-fluencers out of the feed. It leads devs to think there's some AI silver bullet for coding. It doesn't exist. If I just use this MCP server, or run 20 subagents across terminals, or get the perfect rule crafted, only *then* will AI suddenly work! Nah. It's not that easy. Building great software takes foundational knowledge and care. There isn't one specific thing you can do to take the quality of AI generated code and make it perfect. Let me give you an example. If you ask "which MCP servers should I use?", have you first thought deeply about *why* that would even make the code generated better? Is it actually going to save you time? If the MCP is just speeding up copy/paste for you, sure that might help some, but it's not going to fix the poor instructions you gave the model. The model might connect and integrate data from 20 MCP servers only to build the wrong thing. Same thing with rules files. You know what makes great rules? Thinking deeply about your business requirements, system design, and personal preferences. It's kind of hard to outsource that. You can get inspiration from others and pick up some tips or suggestions, but this is a personal question for how *you* want to steer the model. A great rules file for an agent *can* make the quality better. And certain MCP servers *can* make pulling in the right context much easier, hooking into bigger firehoses of data where you're looking for the needle in a haystack. But you only figure this out using AI to build real things and finding real edge cases. Stay optimistic with a healthy dose of skepticism, my friends. These models and tools are *amazing*... and also software engineering is hard.

TanStack OS when ?

Thanks for the recording! it was fun to talk about browsers