Keith Yang

在台灣做軟體工程十多年，帶過團隊。寫 AI 時代的工程系統與延續性問題。

[Keith Yang @keitheis]

@yungyuc 我想導師有教他們的話，他們會的

[Ubuntu @ubuntu]

Ubuntu 26.10 #StonkingStingray is now available.

Read our announcement for more details: https://t.co/5LfnJhnZHn

#Ubuntu #Linux #OpenSource

[Keith Yang @keitheis]

@firefox @arcinternet Live folder is handy for GitHub PR without notification interruption. Not really found alternatives

[Keith Yang @keitheis]

還記約十��年前，用了兩年的 Linux 桌面工作。那時 2GB ram 就是不錯的工作站，Wave 特效放小縮小視窗與 3D 旋轉的畫面可以順得要命眼花；現在電腦只有 2GB 的話，打開瀏覽器後應該會很辛苦。

[Keith Yang @keitheis]

感覺似曾相識地，最近參加了 Omarchy Taipei 初次聚會。簡單三個小心得：

一．有人一起玩真好。更好的是有人辦社群聚會。
二．We can fix everything. It's just that so many things needed to be fixed.
三．參加活動前升到 4.0.6 後炸了要重灌，真是不意外。

[Keith Yang @keitheis]

例如請 AI 從系統移除 Hey、Basecamp。我也燒了一些 Fable 與 Sol token 來讓 xdg-desktop-portal-hyprland 支援 remote-desktop 讓 Deskflow 能操作 Omarchy 的桌面，但要讓 PR 合進 main 就不是那麼容易了。

[高市早苗 @takaichi_sanae]

皆様に、今夜に対応して頂きたい大至急のお願いです。

多くのウェブサイトで使用されているPHPに関し、PHPのセキュリティチームが、重大な２件の脆弱性に関する注意喚起を行っています。

公開しているウェブサイトでPHPを使用しているか確認し、今夜、10月21日午後11時（日本時間）に公開される修正パッチについて、可及的速やかに適用できるよう準備をお願いします。

修正パッチを速やかに適用することが困難な場合は、��えばウェブサイト等を一時的に停止させることも、リスクを低減させるための有効策の一つと考えられます。

国家サイバー統括室のXアカウントでも関係する情報を発信していますので、そちらも参考にして下さい。
国家サイバー統括室(注意・警戒情報)（@cyber_forecast） / X

[sciwork @sciwork]

🚀 November scisprint Taipei is coming!
Got unfinished tasks or tech you want to explore further? Let's pick up where we left off! Continue contributing to sciwork's open-source projects or bring your own side project.
Newcomers are welcome too! See you at scisprint Taipei.

[OpenBSD @openbsd]

OpenBSD 8.0 is out now! See what's new: https://t.co/Zjy2TdgZbd

[Keith Yang @keitheis]

@Andrey_bernal25 東西都很快出來 -> 變成很快回到人的問題，然後還最難這樣。可能是全世界共同的題目吧。

[Keith Yang @keitheis]

今年只參加到 PyCon Taiwan 2026 第二天，但仍然收穫滿滿。

Max Lai 分享醫院導入 AI Coding 與團隊轉型的故事，很多台灣公司熟悉的人情世故，都很有共鳴。

Panel 裡也有個蠻喜歡的觀點：「跟人有關的事，都變成更明顯的瓶頸。」

AI 工具一直在變，但（是我無法推開生命的改變 🎶）回到社群跟人交流，依然是研討會最有價值的部分。

期待 2027！

https://t.co/c7JDd4a9Cs

[Keith Yang @keitheis]

@An_yhl 確實會。工具一波又一波，Model 也是左右為難；怎麼定調也是一種技藝

[Keith Yang @keitheis]

Another fantasy experience with PyCon Taiwan 2026
at 臺北醫學大學教學大樓

[Tibo @tibo_maker]

AI was supposed to make us work less

I've never been this tired in my life

most days I have up to 10 agents running at the same time. one fixing a bug, one writing pages, one refactoring something I already forgot I asked for, 3 other I have no idea what they are doing but i suppose i ask it?

and I jump from conversation to conversation all day

compared to 5 years ago, I probably context switch 100x more

by the end of the day my brain is fried. completely toasted. nothing left, not even for the people I love

I call it the fried brain effect

thought it was just me but almost every founder I talk to lately says the exact same thing

we got superpowers, and somehow the pressure only went up. if you can ship 10x more, you feel like you have to ship 10x more. every single day

I don't have a solution

honestly I have no idea where this goes from here

anyone else feeling this?

[Keith Yang @keitheis]

As models improve, detailed workflows matter less. Clear authority, risk boundaries, security, verification, and acceptance criteria matter more.

[Keith Yang @keitheis]

Another simple trick: ask a frontier model to generate your repo-native SDLC governance principles, then have another frontier model review them

[Keith Yang @keitheis]

"Put them in SDLC-Governance-Principles.md, reference it from AGENTS.md, and optimize for principles that survive better models—not today's agent quirks."

[Chandu Thota @ChanduThota]

We are making Markdown files work natively across Google Drive and Docs.

You can now preview .md files in Drive, open them in Docs, edit them, comment on them, and collaborate without converting the file into a Google Doc!

[Keith Yang @keitheis]

With this kind of agent bot, it feels more like:
“While you’re at it, go take care of that too.” 😆

You start trusting it to explore context on its own.

Like the iPhone changed how people thought about computing, this may change how we think about:

handing work over to AI.

[Keith Yang @keitheis]

After actually using ChatGPT Dot, I can feel the difference between a lobster someone else has properly seasoned and served in a real work setting, versus one you casually cook at home in your spare time.

A few impressions 🧵

[Keith Yang @keitheis]

Most of these things were already possible with Codex or Claude Cowork / Code.

But the mindset feels quite different.

With agents today, I usually move into the right context — the right project, the right repo — and give fairly precise instructions.