Tapestry 5
338 posts
Tapestry 5
@tapestry5
Java, Tapestry 5, Hibernate, Javascript, Nodejs, Expressjs, Hapijs
Katılım Haziran 2009
97 Takip Edilen98 Takipçiler
Is there an HTML design tool that outputs regular ol' HTML and CSS?
Both @stitchbygoogle and @figma output HTML with Tailwind classes, but I'm looking for something that gives me just the HTML + CSS primitives.
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@ryanflorence Frontend not needed anymore, if still want frontend you might fighting with AI
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There's a chance backend/frontend libraries are useless now for web dev.
I guess that's the Remix 3 experiment. Can you get better results by giving the agent a more expressive vocabulary?
I'm open to being wrong, but I think so. We're almost done and I'm excited to test it
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NVIDIA’s CEO says OpenClaw did in 3 weeks what Linux took 30 years to achieve
"OpenClaw is probably the single most important software release ever. If you look at its adoption, Linux took some 30 years to reach this level. OpenClaw, in what is it, 3 weeks, has now surpassed Linux. It is now the single most downloaded open-source software in history, and it took just 3 weeks."
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Tapestry 5 retweetledi
You've cancelled your subscription to GitHub Copilot Pro. This plan change will take effect on ??, 2026.
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We at Mozilla feel that WebAssembly has been a second-class citizen on the web for long enough. You shouldn't have to go through JS to do everything.
This is probably a lot of what I will be focusing on for work in 2026!
hacks.mozilla.org/2026/02/making…
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Tapestry 5 retweetledi
代码写得越多，赚钱越少。
我现在尽量控制自己做新功能、开新项目的冲动。疯狂 building 容易让人产生一种假象——觉得自己很努力，钱迟早会来。其实不是。
说实话，各种 Agent Coding 技巧我也不太感兴趣了。从 2024 年 Cursor 刚火的时候，我就很少手写代码，后面好几个交付项目也主要是 AI 写的。算下来，靠 AI building 也超过一年了。
AI 已经把开发效率拉得够高了，我不需要更快。我需要慢下来。慢下来做好质量管理，优化测试流程；慢下来想清楚产品方向和营销策略；慢下来跟企业聊聊真实的效率痛点，用 AI 帮他们提效。那些才是更实际的问题。
疯狂 building 反而会挤掉思考的时间，让人沉迷在一种 vibe coding 的电子游戏里。看着很忙，实际没带来多少价值，只会更累。
所以现在的原则很简单：要么解决自己的问题，要么帮客户解决问题，不能单纯因为一个东西觉得可以实现而去做。
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Tapestry 5 retweetledi
Tapestry 5 retweetledi
真实的故事💥
一位小提琴家在华盛顿特区地铁里演奏了 45 分钟。
在经过的 1,097 人中，只有 7 人停下来听他演奏，只有 1 个人认出了他。
他从 27 位路人那里共收到 32.17 美元的小费（其中不包括那位认出他的人给的 20 美元）。
几乎没有人知道，这位小提琴家正是 Joshua Bell——世界顶级音乐家之一。在地铁里，他用一把价值 350 万美元的小提琴，演奏了一首极其复杂的经典作品。
就在两天前，Joshua Bell 在波士顿的一家剧院演出，门票售罄，平均票价约 100 美元。
这个实验说明：
当“非凡”置身于“平凡”的环境中，往往不会发光，甚至会被忽视和低估。
世界上到处都有才华横溢的人，却没有得到应有的认可与回报。
但当他们带着价值与自信，离开不适合自己的环境，他们就能真正绽放与成长。
你的直觉正在对你说些什么。
如果它告诉你——你现在所处的地方不够好，那就认真想想，去一个欣赏你、重视你的地方。
认识自己的价值。
而我们每天，又在赶路中错过多少真正美好的东西？
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Tapestry 5 retweetledi
I haven’t been doing this a lot until lately, but AI can be such a good design partner. I have a Claude project with all the context of my current project, and I can chat with Opus 4.6 about it anytime on my phone.
In the past I always capture inspirations in a backlog in Google Keep so I can do proper research on it later. Now I just chat with Claude whenever the bulb lights up.
It doesn’t always come up with the best idea on its own, but it’s able to conduct research very fast, explore a wide variety of options, and list the tradeoffs to give me the necessary information to nudge it in the right direction - and honestly, that’s probably the only thing I am truly good at: intuition and taste on API design. AI amplifies my impact in the parts where I really matter and gives me a 10x leverage on the final results.
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Tapestry 5 retweetledi
"I don’t have a GPU" is no longer an excuse 🤯
You can now train LLMs directly in VS Code using a free Google Colab runtime.
→ Connect any fine-tuning notebook to Colab
→ Train locally or on a free cloud GPU
→ Works with Unsloth
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Tapestry 5 retweetledi
> Claude writes the code.
> Supabase runs the backend.
> Vercel handles deployment.
> Namecheap gets you a domain.
> Stripe collects the money.
> GitHub tracks your code.
> Resend sends the emails.
> Clerk manages auth.
> Cloudflare handles DNS.
> PostHog tracks analytics.
> Sentry catches errors.
> Upstash powers Redis.
> Pinecone stores your vectors.
> OpenAI / Anthropic for AI brains.
> Railway for extra compute.
> LemonSqueezy for global payments.
> Framer / Webflow for landing pages.
> Canva for instant design.
> Figma for UI.
> Notion for docs.
That’s your entire “tech stack.”
No office.
No investors.
No 20-person team.
Just WiFi, a laptop, and execution.
You can literally build a $10k/month startup from your bedroom in 2026.
It’s not that deep.
Ship.
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@huang_chao4969 It’s similar to OpenVPN vs WireGuard: 100k lines of code versus just 4k.
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Just found out that Andrej Karpathy noticed our nanobot - quite unexpected! nanobot aims to deliver an ultra-lightweight personal AI assistant with less than 4k lines of code (vs OpenClaw's 400k+ lines) while maintaining comparable performance.
As Karpathy mentioned, Claws has indeed brought fresh ideas and inspiration to the Agent community. Really excited to see how the entire Agent ecosystem evolves 🚀
GitHub: github.com/HKUDS/nanobot
Andrej Karpathy@karpathy
Bought a new Mac mini to properly tinker with claws over the weekend. The apple store person told me they are selling like hotcakes and everyone is confused :) I'm definitely a bit sus'd to run OpenClaw specifically - giving my private data/keys to 400K lines of vibe coded monster that is being actively attacked at scale is not very appealing at all. Already seeing reports of exposed instances, RCE vulnerabilities, supply chain poisoning, malicious or compromised skills in the registry, it feels like a complete wild west and a security nightmare. But I do love the concept and I think that just like LLM agents were a new layer on top of LLMs, Claws are now a new layer on top of LLM agents, taking the orchestration, scheduling, context, tool calls and a kind of persistence to a next level. Looking around, and given that the high level idea is clear, there are a lot of smaller Claws starting to pop out. For example, on a quick skim NanoClaw looks really interesting in that the core engine is ~4000 lines of code (fits into both my head and that of AI agents, so it feels manageable, auditable, flexible, etc.) and runs everything in containers by default. I also love their approach to configurability - it's not done via config files it's done via skills! For example, /add-telegram instructs your AI agent how to modify the actual code to integrate Telegram. I haven't come across this yet and it slightly blew my mind earlier today as a new, AI-enabled approach to preventing config mess and if-then-else monsters. Basically - the implied new meta is to write the most maximally forkable repo and then have skills that fork it into any desired more exotic configuration. Very cool. Anyway there are many others - e.g. nanobot, zeroclaw, ironclaw, picoclaw (lol @ prefixes). There are also cloud-hosted alternatives but tbh I don't love these because it feels much harder to tinker with. In particular, local setup allows easy connection to home automation gadgets on the local network. And I don't know, there is something aesthetically pleasing about there being a physical device 'possessed' by a little ghost of a personal digital house elf. Not 100% sure what my setup ends up looking like just yet but Claws are an awesome, exciting new layer of the AI stack.
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Tapestry 5 retweetledi
@robbinfan So why quit making apps now?
This may be the best time to be a developer.
You have leverage past generations never had.
And something AI-native learners won’t:
Hard-earned intuition.
Debugging scars.
Real “aha” moments.
AI lowers the floor.
But raises the ceiling.
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现在对传统的开发者真的太不友好了。我已经取消了之前所有的 App 开发计划了。
App 井喷，智能体越来越强的情况下，开发再多的 App 也只是在供给过剩的时代内卷而已。
要么加强个人 IP 打造好个人的营销渠道，要么转向为智能体开发 API 服务，面向用户的 App 这条路已经不值得走了。
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@robbinfan Code isn’t the advantage anymore.
AI can generate most of it.
Coding is becoming table stakes —
like using Excel.
What matters now:
• System thinking
• Architecture
• Product clarity
• Using AI as leverage
The edge isn’t shipping faster.
It’s thinking better.
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