惯性聚合 高效追踪和阅读你感兴趣的博客、新闻、科技资讯
阅读原文 在惯性聚合中打开

推荐订阅源

Recent Announcements
Recent Announcements
J
Java Code Geeks
U
Unit 42
GbyAI
GbyAI
大猫的无限游戏
大猫的无限游戏
L
LangChain Blog
D
Docker
F
Fortinet All Blogs
N
Netflix TechBlog - Medium
钛媒体:引领未来商业与生活新知
钛媒体:引领未来商业与生活新知
罗磊的独立博客
I
InfoQ
The Cloudflare Blog
小众软件
小众软件
V
Visual Studio Blog
OSCHINA 社区最新新闻
OSCHINA 社区最新新闻
Engineering at Meta
Engineering at Meta
S
SegmentFault 最新的问题
爱范儿
爱范儿
Hugging Face - Blog
Hugging Face - Blog
P
Proofpoint News Feed
V
V2EX
月光博客
月光博客
Martin Fowler
Martin Fowler

Lobsters

CIFSwitch: a non-universal Linux local root vulnerability RIPE NCC session fixation: poaching logins with an Atlas probe GNOME 2.20 but its Web Components Agentic Search for Context Engineering – Leonie Monigatti Garnix is shutting down [not OC] akashina.tngl.sh/jjc Concerning Emacs (and Jazz) Nitpicking the shell history scene in ‘Tron: Legacy’ What's cooking on SourceHut? Q2 2026 The tenth OpenPGP email summit Package managers that package package managers Clojure on Fennel part three: parsing WordPress at 23 Finding Miscompiles for Fun, Not Profit GitHub - creusot-rs/creusot: Creusot helps you prove your Rust code is correct. Announcing Rust 1.96.0 | Rust Blog A Love Letter to Neovim sqlite AGENTS.md Am I a Bad Friend? CSS vs. JavaScript • Josh W. Comeau Erlang Ecosystem Foundation - Supporting the BEAM community A brief note about slot access cost in Common Lisp Keyboard latency probe Rethinking the GNOME clipboard issues Back to the Building Blocks’ Building Blocks Tech Notes: Theseus: translating win32 to wasm Fast is better than slow Content-addressed Rust builds (or, what kache actually caches) Intent to Prototype: Embedding API Canada’s Bill C-22 and the security cost of collecting more data
If You are Asking for Human Attention, Demonstrate Human ...
2026-06-12 · via Lobsters

An ever-increasing volume of debug investigations, document writing, and code is written by robots. This has created a new etiquette question when working with a team - when is it OK to forward the output of an AI to another human to read?

On one hand, an AI with robust integration to internal code bases and documentation often produces genuinely1 useful output.

On the other, as an increasing amount of a software engineer's day is spent reading AI text, a fatigue sets in. If I can have a robot say something, so can you. It reads as inconsiderate to post un-digested AI output as though it's your own writing.

I remember the first time I experienced this annoyance. I proposed a design, and a teammate prompted an AI to critique it. The teammate sent an AI document to me, with the disclaimer: "I didn't read this, so it might not be entirely accurate". My thought was, if reading this wasn't worth your time, why is it worth mine?"

Therefore, I've adopted this principle in my work:

If you are requesting human attention, demonstrate human effort.

If useful, I send AI generated content to teammates. But when doing so, I take care to clearly label what is AI generated, and I add my own commentary alongside it. For human code review requests, I always review my AI-generated code first.

Attention was already a scarce resource before AI, and it is even more so now. Keeping AI generated content clearly labeled and demonstrating human effort helps show consideration for teammates, and keeps a touch of humanity alive in our work.

  1. I promise I wrote this (and all the words in this post) with my meat fingers! ↩