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Meet grasscn: pixel-perfect Minecraft UI components for shadcn.
→ Matched pixel by pixel against the game
→ Original textures, font, sounds
→ 67 components, from Button to Data Table
→ Hotbar, HUD, books, signs, maps and trading
→ More on the way
Open source. Links below 👇
Introducing Runesweeper: Minesweeper that teaches you to think like a pro.
• Hints for forced guesses: the pick a pro makes, and why
• Reviews that show your missed deductions
• No Guess fields, proven by an exact solver
Built on Rune by @kitlangton and @thdxr at @anomalyco.
nk retweeted
由于刷到了 @nicongdev 之前的帖子,我现在正在挑战和我的 agent 全英文对话,虽然目前很吃力(短时间内降低了工作效率)
但是我认为,长时间下来我的英文水平应该会进入,输入的话我采用 Google translate(use Gemini)翻译后,自己读几遍,然后语音输入进去(想着加深记忆)。
ai 输出的内容遇到不会的词翻译一下自己读一遍,然后再翻译核对一下。
我仍然认为所有人都应该用英文和LLM沟通
昨天我用中文聊了点生活上的问题,LLM帮我写的消息,让我一眼就看出这是英文翻译成中文的
很多人都知道LLM的训练数据里中文占比很少,同时也有很多研究证明用占比少的语言沟通并不会降低模型的智力
但我说的不是智力
我说的是语言,在互联网上存在大量低质量机翻的中文素材,model lab可不会帮你区分并剔除这些内容,所以很多时候哪怕是用中文,LLM还是用英文思考,翻译成中文告诉你*
这不光会降低沟通效率,给你增加额外的理解负担,还会长期拖慢你与agent沟通效率的提升
*个人观点无可靠研究证明
this is amazing
Someone rebuilt Minecraft's UI as shadcn components. Pixel by pixel.
So I made grasscn a launch film. Every frame rendered in code, using its real components, textures, font and sounds.
67 components. Open source.
Built by @nicongdev 👇
Try it: npx shadcn add grasscn.dev/r/button.json
Docs: grasscn.dev
Code: github.com/nicognaW/grasscn
如果你也agentic engineer,AI写代码、或者叫vibe coding或者做任何相似的事
你一定要试试hex,也是一个纯vibe coded的应用,但是它的设计、UX简直是大师水平
hex was fully vibe coded. the app. the landing page. the animations. sound effects were ai generated. issues people open are fixed by opencode. the onboarding. even some of the creative ideas
but i think it's pretty good software. it's fun to use. works on all platforms. performant (not electron!)
our effort didn't go into the code. but there was a lot of effort
it's a small app but i hope it improves your outlook on where we can go
no matter what agent you're using, your voice is the best way to talk to them
and hex is the best way to use your voice:
- fast
- runs locally
- works on mac, windows, linux
stable release now available: anoma.ly/hex
之前我很讨厌在Windows系统上编码或做研发工作,它的shell实在是太难用了
但最近开始在gaming PC上做side project竟然感觉还不错
因为我不再需要关心太多shell experience
但window management仍然比较痛苦
你们觉得接下来应该做一个Windows版的hyprland或niri吗
GPT-6.1 Sol为了实现我要求的pixel perfect,在grasscn里写了3万个测试
我让他找没用的删掉,他只删了25个
说真的,到底怎样能解决这种问题,我不可能一个一个review看完3万个测试
Agents are solved problems, for me. Use LeapCore, or a Rust agent if you prefer.
LeapCore skips the Rust tax. It’s young on paper, but it’s years of me building LLM apps plus AI-agent shipping speed. To me, it might as well be years old.
vercel/eve agent框架今天rc了,它在中推的讨论度一直很低
说说我为什么从不看好它
首先是一个行内公认的常识,虽然很多人还没有意识到
那就是有效(effective)的智能体产品,一定要用有效的coding agent harness
比如大家都公认pi是一个有效的harness,所以做智能体产品用pi-durable,同理还可以用claude agents sdk等等
而像langgraph这样,没有在编程任务中验证过的框架,通常来讲更难有效
eve也一样,尽管你可以用eve做一个coding agent出来,但是并没有人每天用它coding,没有人每天在coding任务上验证它
但vercel也是有coding agent的,就是主打轻量的,zig编写的fx,但他们并没有用fx做agent框架
也许这是办公室政治的结果,也许只是vercel不认可我的常识
但作为langchain第一个版本见证到claude code爆炸的过来人,真心替eve担忧
1.0.0-rc.0 is available for testing.
github.com/vercel/eve/releas…
















