Glean 拾遗
Week 29 · Thu, Jul 16, 2026

2–3 picks worth reading every day

A bilingual tech zine. Weekly digest on Mondays.

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Today

Today · 3picks

peteris.rocks · 58 min read

htop Explained: Load Averages, Process States, and More

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.

htopLinuxProcess Managementprocfsstrace
www.quantamagazine.org · 14 min read

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

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.

AstrophysicsBlack HolesEddington LimitGalaxy FormationJWST
x.com · 10 min read

How to Create Loops with Claude

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.

Agent ArchitectureAI EngineeringClaude CodeDeveloper ToolsLoop EngineeringProductivity
This week’s issue

Mondays

#006 · CURRENT

The Loop Is the Harness: Design the better loop, the System Is Just Beginning

This week marks a quiet but complete paradigm shift: the center of gravity in agent development has moved from 'writing a good prompt' to 'designing a good loop.' That while-loop is no longer a plumbing detail—it determines whether a system converges, how it brakes, and whether costs spiral out of control. Models are being commoditized fast, and the harness—the system that assembles models, tools, context, feedback, and constraints into a loop—is what separates the mediocre from the exceptional. Our 24 picks, from Boris Cherny's loop engineering manifesto and Claude Code's four official loop patterns, to context caching engineering, Skill design philosophy, and multi-model collaboration at the serving layer, form a construction manual for this new mindset. After this issue, you'll stop asking which model is better—you'll ask: can my loop survive a night, stay within budget, and deliver usable results?

24 picks 6/29–7/5
Contents
  1. 01 The Loop as System: An Engineering Roadmap from Prompt to Autonomy 7
  2. 02 Context as Architecture: Fighting Memory Decay and Context Rot 3
  3. 03 Skills as Product: Engineering Reusable Units of Expert Experience 4
  4. 04 Hands for the Agent: Practical Browser Control and Design Automation 3
  5. 05 Multi-Model Collaboration: Surpassing Single Frontier Models at the Serving Layer 4
  6. 06 Meta-Thinking: The Superlinear Path of Research, Choice, and Growth 3
Read the full issue →