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Thu, Jul 16, 2026 3picks
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06:00

htop Explained: Load Averages, Process States, and More

htop 完全解读：从负载均值到进程状态，一张图搞懂系统监控

A comprehensive walkthrough of htop's interface, explaining every field from uptime and load averages to process states (R/S/D/Z/T/t) and memory metrics (VIRT/RES/SHR). The author uses /proc filesystem dives, strace, code examples, and hands-on experiments to debunk common misconceptions (e.g., load average ≠ CPU usage). Includes an appendix analyzing every startup process on Ubuntu Server 16.04 and an extreme slimming guide. For backend engineers who want to truly understand Linux process monitoring.

peteris.rocks · 58 min · htop · Linux · Process Management · procfs · strace
06:00

JWST Challenges Cosmology: Too-Big Black Holes and Too-Bright Galaxies

韦伯望远镜颠覆早期宇宙认知：超大黑洞与明亮星系的新谜题

The James Webb Space Telescope (JWST) has detected unexpectedly massive black holes and overly bright galaxies in the early universe, challenging established astrophysical models. This article presents three core puzzles: 'little red dots' that may be black holes shrouded in dense gas or a new class of 'black hole stars'; supermassive black holes that seem to exceed Eddington-limited growth, potentially explained by super-Eddington accretion or direct collapse; and galaxies too luminous for their age, possibly due to higher star-formation efficiency, starburst episodes, or a top-heavy initial mass function. Observational evidence like MIRI's detection of galaxy diversity and nitrogen overabundance is discussed, alongside recent simulations that better match high-redshift data. The piece features candid interviews with astrophysicists (Charlotte Mason, Jenny Greene, Rachel Somerville) and focuses on competing theories without PR hype.

www.quantamagazine.org · 14 min · Astrophysics · Black Holes · Eddington Limit · Galaxy Formation · JWST
06:00

How to Create Loops with Claude

从提示词到循环：用Claude构建自动化代理系统

This article advocates shifting from writing single prompts to designing loops—automated systems that keep AI agents working without human intervention. It breaks down a loop into six components: automation triggers, git worktrees for parallel isolation, skills (procedure manuals), connectors, sub-agents, and persistent memory files (e.g., STATE.md). The evaluator-optimizer pattern is highlighted: one agent generates, another verifies against objective gates like test suites or type checkers. Stop conditions must be checkable by external signals, not the agent's own claim. An autonomy ladder (suggest, draft, apply low-risk, full auto) helps gradually earn trust. The article also warns about token costs and the need for command allowlists in unattended loops.

x.com · 10 min · Agent Architecture · AI Engineering · Claude Code · Developer Tools · Loop Engineering · Productivity