Tapestry 5

Java, Tapestry 5, Hibernate, Javascript, Nodejs, Expressjs, Hapijs

[Tapestry 5 @tapestry5]

#codex easily hitting the 5 hour limit in ChatGPT plus now

[Tapestry 5 @tapestry5]

A 5-year legacy project:

First it was #AlpineJS 2.8.1. Then a little #Svelte 3. Then #PetiteVue took over. Later #HTMX replaced petite-vue.

Now #Datastar is replacing everything.

One frontend framework to remember. Much simpler.

[Tapestry 5 @tapestry5]

@mjackson @stitchbygoogle @figma Codex

[Tapestry 5 @tapestry5]

start learning #Kotlin one hour a day

[Tapestry 5 @tapestry5]

Codex has more 'reconnecting...' today, anybody experience this?

[Tapestry 5 @tapestry5]

@ryanflorence Frontend not needed anymore, if still want frontend you might fighting with AI

[Tapestry 5 @tapestry5]

@Pirat_Nation could OpenClaw do it without the 30 years of linux?

[Hōrōshi バガボンド @KatanaLarp]

https://t.co/h9C7YZeCx3

[Tapestry 5 @tapestry5]

Codex Pro is enough

[Tapestry 5 @tapestry5]

You've cancelled your subscription to GitHub Copilot Pro. This plan change will take effect on ??, 2026.

[Ben Visness @its_bvisness]

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!

https://t.co/mz37vtxaKl

[Kevin Ma @kevinma_dev_zh]

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。

[Tapestry 5 @tapestry5]

@jarredsumner fast adding features to Bun lately, AI helps?

[Evan You @evanyou]

@boshen_c No! On the contrary, the cost of trying new ideas is infinitely scaling to zero. It’s up to us to slow down and search for great ideas.

[AusMini @aus_mini]

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？

[Evan You @evanyou]

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.

[Alvaro Cintas @dr_cintas]

"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

[Alex Nguyen @alexcooldev]

> 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.

[Tapestry 5 @tapestry5]

@huang_chao4969 It’s similar to OpenVPN vs WireGuard: 100k lines of code versus just 4k.

[阿橡 @oakvale5]

我今天看到最缓解我焦虑的一句话：每个人都能做一两个菜，但是厨师这个职业并没有消失。