Your Job Isn't Disappearing. It's Shrinking Around You in Real Time

[!NOTE]
You’re too busy trying to keep your current job to redesign your future one.

Nobody could define what higher-value work actually looked like in practice. Nobody could describe the new role. So they defaulted to the only thing they could measure: cost reduction.

Not “I’m more efficient now.” But “We can now do this specific thing we couldn’t do before, which creates this specific business value.”

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10 lessons from 12 years at Google

[!NOTE]
The process of explaining concepts to others forces me to deepen my own understanding and uncover gaps in my knowledge.

Remember that communication is a two-way street. Listen actively to others and seek to understand their perspectives before responding.

Whether it’s spending time with loved ones, pursuing hobbies, or simply taking a walk in nature, make space for the things that nourish your soul.

[!TIP] Source link: 10 lessons from 12 years at Google

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承受失去之痛,是我爱的证明 | 我们的餐桌

[!NOTE]
ご飯ってさあ、一人で食べてももちろん美味しいけど、
誰かと一緒に食べる事って、それだけで特別なことだと思うんだよね。

誰かを愛することって、失う時の痛みも引き受けるっていうことだと思うんだよ。
この痛みは味わえて、僕は幸せなんだ…

別れの時には、一緒にいたかろうぜ。

[!TIP] Source link: 承受失去之痛,是我爱的证明 | 我们的餐桌

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吃真实的食物:聊聊最新的美国膳食指南(2025-2030 年版) - 少数派

[!NOTE]
吃真实的食物:完整的或最小加工的、可被识别为食物的食品。用很少的原料制备,不含添加糖、工业油脂、人工香料或防腐剂。

[!TIP] Source link: 吃真实的食物:聊聊最新的美国膳食指南(2025-2030 年版) - 少数派, 吃真实的食物:聊聊最新的美国膳食指南(2025-2030 年版) - 少数派

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The Next Two Years of Software Engineering

[!NOTE]
Focus on skills AI can’t easily replace: communication, problem decomposition, domain knowledge.

AI handles the routine 80%, humans focus on the hardest 20%. Architecture, tricky integrations, creative design, edge cases: the problems machines alone can’t solve.

Critical skills become software architecture, system design, performance tuning, and security analysis.

Stay current on new tools and best practices. Double down on what makes a human developer indispensable: sound judgment, system-level thinking, and mentorship.

Companies no longer want developers who are either too shallow or too narrowly focused; they want a strong core competency plus ability to work across the stack. Part of the reason is efficiency: a T-shaped engineer can often solve problems end-to-end without waiting on handoffs.

[!TIP] Source link: The Next Two Years of Software Engineering

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AI writes code faster. Your job is still to prove it works.

[!NOTE]
A computer can never be held accountable. That’s your job as the human in the loop.

Code review is also how teams share system context. If AI writes the code and nobody can explain it, on-call becomes expensive.

When a developer submits AI-generated code they don’t fully understand, they’re breaking the knowledge transfer mechanism that makes teams resilient. If the original author can’t explain why the code works, how will the on-call engineer debug it at 2 AM?

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Agentultra - How I Learned Everything I Know About Programming

[!NOTE]
Memory is almost like a “re-living,” an embodiment of a past state. The story becomes a part of your lived experience.

Because it turns out that you don’t really know something well until you can explain it to someone.

And the first time you try to explain something you learned to someone will not be the best way to explain it. You need to try many times. So you actually want people to ask you about it and you want to help people learn so that you can learn as well!

[!TIP] Source link: Agentultra - How I Learned Everything I Know About Programming

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技术Leader如何创造业务价值?

[!NOTE]
不用太在意短期的得失,喜欢什么就去做。因为热爱一件事(或者爱一个人),其实是非常难得的,错过了多可惜啊。

做困难的事。别人害怕的事,交给我来做。别人抢着做的事情,让他们去做。

[!TIP] Source link: 技术Leader如何创造业务价值?

GenAI, The Snake Eating Its Own Tail: How tools like ChatGPT and Claude are destroying the ecosystems they rely on, and what to do about it

[!NOTE]
If we want to avoid the great content collapse, we need a model of GenAI usage that creates opportunities for all parties (user, GenAI company, content creator) to capture value.

[!TIP] Source link: GenAI, The Snake Eating Its Own Tail: How tools like ChatGPT and Claude are destroying the ecosystems they rely on, and what to do about it

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21 Lessons From 14 Years at Google

[!NOTE]
Writing forces clarity. When I explain a concept to others - in a doc, a talk, a code review comment, even just chatting with AI - I discover the gaps in my own understanding.

Senior engineers who say “I don’t know” aren’t showing weakness - they’re creating permission.

Your job isn’t forever, but your network is

Deleting unnecessary work is almost always more impactful than doing necessary work faster. The fastest code is code that never runs.

Before you optimize, question whether the work should exist at all.

[!TIP] Source link: 21 Lessons From 14 Years at Google

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