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06:00

Omarchy Field Guide: From macOS to Arch + Hyprland in 12 Chapters

Omarchy 全景实操手册：从 macOS 迁移到 Arch + Hyprland 的完整路径

Omarchy is a Linux distribution launched in 2025 by DHH, creator of Ruby on Rails and co-founder of 37signals. Built on Arch Linux with the Hyprland tiling window manager, it applies an omakase philosophy: the team makes software and interaction choices for you, so you get a polished, keyboard-driven workstation out of the box. This piece is a hands-on manual with twelve chapters and two appendices, covering installation, first-run interaction, hotkeys, configuration files, software setup, screen capture, the built-in AI agent, system maintenance, migration from macOS or Windows, advanced customization, and troubleshooting. It includes a CLI cheat sheet, FAQ, Chinese IME and proxy setup guidance. Written as an enthusiast walkthrough rather than a critical review, it mostly omits trade-offs and failure reports. Useful as a practical reference for developers who want Arch-like power without the usual setup grind.

xiangyangqiaomu.feishu.cn · 2 min · Arch Linux · Hyprland · Linux · Omarchy
06:00

AI Amplifies Work, Not Reduces It: 2026 Workplace Report

AI 提效神话 vs 员工更累：一份职场遥测报告的硬核拆解

This in-depth read of ActivTrak's 2026 State of the Workplace report uses over 443 million hours of behavioral data from thousands of organizations to challenge the popular 'AI reduces workload' narrative. AI adoption has hit 80%, companies deploy 7 tools on average, yet daily focused time dropped from 14:23 to 13:07 and focus efficiency hit a three-year low of 60%. The report frames AI as an amplifier, not a replacer: email time rose 104%, instant messaging 145%, and collaboration 34%. Only 3% of employees reach the 7-10% AI usage 'productivity sweet spot.' Meanwhile, the dominant employee risk has shifted from burnout to disengagement, costing mid-cap firms $228-355M annually. For managers assessing AI ROI, AI product leads, and engineers interested in organizational effectiveness.

mp.weixin.qq.com · 9 min · AI · AI Engineering · AI Industry · Productivity
06:00

A Complete Guide to AGENTS.md

AGENTS.md 瘦身指南：用渐进披露守住指令预算

AGENTS.md is a Markdown file checked into Git that customizes how AI coding agents behave in a repo. Because the entire file is injected into context on every request, it consumes a finite instruction budget: frontier LLMs reliably follow roughly 150–200 instructions, while smaller models handle fewer. Oversized files also go stale quickly; outdated file paths and architecture notes actively poison agent context, unlike a human who can ignore bad docs. The guide argues for a minimal root AGENTS.md containing only a one-sentence project description, the package manager when it isn't npm, and any non-standard build/typecheck commands. Everything else should be progressively disclosed through linked markdown files, nested AGENTS.md files for monorepo packages, or agent skills. It also covers symlinking AGENTS.md to CLAUDE.md for Claude Code, and includes a copy-paste prompt to refactor an existing bloated file. Practical for teams running agentic coding tools who want to reduce token waste and document drift.

www.aihero.dev · 8 min · Agent Engineering · Agents · Context Engineering · LLM · Progressive Disclosure