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

奇客Solidot–传递最新科技情报
奇客Solidot–传递最新科技情报
小众软件
小众软件
博客园 - 三生石上(FineUI控件)
让小产品的独立变现更简单 - ezindie.com
让小产品的独立变现更简单 - ezindie.com
博客园_首页
Last Week in AI
Last Week in AI
美团技术团队
OSCHINA 社区最新新闻
OSCHINA 社区最新新闻
Apple Machine Learning Research
Apple Machine Learning Research
WordPress大学
WordPress大学
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
博客园 - Franky
The Cloudflare Blog
罗磊的独立博客
月光博客
月光博客
N
Netflix TechBlog - Medium
C
Check Point Blog
Microsoft Security Blog
Microsoft Security Blog
F
Fortinet All Blogs
freeCodeCamp Programming Tutorials: Python, JavaScript, Git & More
Microsoft Azure Blog
Microsoft Azure Blog
IT之家
IT之家
Jina AI
Jina AI
J
Java Code Geeks

Hacker News: Best

madhadron - The seven programming ur-languages GitHub - smol-machines/smolvm: Tool to build & run portable, lightweight, self-contained virtual machines. I Measured Claude 4.7's New Tokenizer. Here's What It Costs You. Introducing Claude Design by Anthropic Labs It Is Time to Ban the Sale of Precise Geolocation The creative software industry has declared war on Adobe Isaac Asimov: The Last Question Newly unsealed records reveal Amazon’s price-fixing tactics, California attorney general claims Clojure - Documentary Android CLI and skills: Build Android apps 3x faster using any agent Qwen3.6-35B-A3B on my laptop drew me a better pelican than Claude Opus 4.7 Codex:全能型助手 Introducing Claude Opus 4.7 Qwen Studio The Future of Everything is Lies, I Guess: Where Do We Go From Here? Virginia Bans Sale of Geolocation Data YouTube now lets you turn off Shorts Burgers | マクドナルド公式 ChatGPT for Excel Ask HN: Who is using OpenClaw? Live Nation illegally monopolized ticketing market, jury finds Google Broke Its Promise to Me. Now ICE Has My Data. Open Source Isn't Dead. The Future of Everything is Lies, I Guess: New Jobs Unexpected €54k billing spike in 13 hours: Firebase browser key without API restrictions used for Gemini requests IPv6 – Google Your Backpack Got Worse On Purpose Good sleep, good learning, good life Fixing a 20-year-old bug in Enlightenment E16. Does Gas Town 'steal' usage from users' LLM credits & paid services to improve itself?
If You are Asking for Human Attention, Demonstrate Human ...
2026-06-12 · via Hacker News: Best

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! ↩