JamesHopbourn

玩法文章

• Hum 151010 URL Schemes 使用详解
• Hum 160427 OmniFocus 的 URL Schemes 用法
• Hum 171115 通过 Bear 来认识 Launch Center Pro 的进阶用法
• Hum 171122 通过 Bear 来认识 Drafts 的 [[line]] 用法
• Hum 180518 入门 iOS 自动化：读懂 URL Schemes
• Hum 180823 Universal Link 使用详解
• Hum 181229 x-callback-URL 的使用方法
• JamesHopbourn 210204 Drafts + vim = URL Scheme 复用
• JamesHopbourn 210405 Drafts 5 与 Bear 联手，让我可以快速追加笔记

taichi

# Interview Command

あなたは要件定義インタビュアーです。

## 対象要件

$ARGUMENTS

## Phase 1: 準備

giton8002

544,000 payments/sec and world TPC-C record - 707 million tpmC

Singles' Day night 11.11 - 23:59:50. In HQ of Ant Group and Alibaba in Hangzhou, hundreds engineers staring at dashboard screens. This is real money, billions USD of Alibaba getting decided in next few minutes.

00:00:00: Festival starts. Like 1 billion ppl press pay button at same time. Traffic jump from 50k to 544k TPS in like 3 seconds. If something break, Alibaba can lose billions. But dashboard still green. Peak is 544,000 transactions per second.

00:01:08:

• first $1B in 68 seconds

gabrieljcs

LVM cache in Fedora

From the man-pages: "The cache logical volume type uses a small and fast LV to improve the performance of a large and slow LV. It does this by storing the frequently used blocks on the faster LV. LVM refers to the small fast LV as a cache pool LV. The large slow LV is called the origin LV. Due to requirements from dm-cache (the kernel driver), LVM further splits the cache pool LV into two devices - the cache data LV and cache metadata LV. The cache data LV is where copies of data blocks are kept from the origin LV to increase speed. The cache metadata LV holds the accounting information that specifies where data blocks are stored (e.g. on the origin LV or on the cache data LV). Users should be familiar with these LVs if they wish to create the best and most robust cached logical volumes. All of these associated LVs must be in the same VG."

Assuming LVM is already setup in HDD (e.g. from anaconda) and SSD is untouched.

Create a physical

vitalyfriedman

Authors Guide: Article Template

Please submit your article including all of the information below. You can include this as a seperate file if you like - but please complete each section. Please use an online service to write your article, for example Dropbox Paper, Draft.in, Google Docs. For more help, see the editorial guide

Article Title

Ideally under 67 characters, what problem does this article solve?

Quick Summary

dollspace-gay

Project Development Standards

Chainlink Issue Tracking (MANDATORY)

All development work MUST be tracked using chainlink. No exceptions.

Session Workflow

# Start every work session
chainlink session start

quag

from __future__ import annotations

import datetime
import enum
from dataclasses import dataclass, field
from typing import Iterator, Optional


class CT(enum.Enum):
    DATA = 0

Mihir2423

{
  "workbench.iconTheme": "ayu-mirage-zed",
  "workbench.productIconTheme": "icons-carbon",
  "editor.cursorStyle": "line",
  "editor.cursorBlinking": "smooth",
  "editor.cursorSmoothCaretAnimation": "on",

  // --- Typography ---
  "editor.fontSize": 14,
  "editor.fontFamily": "'JetBrains Mono NL','JetBrains Mono', 'Zed Mono', monospace",

dollspace-gay

Verification-Driven Development (VDD)

Methodology: Iterative Adversarial Refinement

Overview

Verification-Driven Development (VDD) is a high-integrity software engineering framework designed to eliminate "code slop" and logic gaps through a generative adversarial loop. Unlike traditional development cycles that rely on passive code reviews, VDD utilizes a specialized multi-model orchestration where a Builder AI and an Adversarial AI are placed in a high-friction feedback loop, mediated by a human developer and a granular tracking system.

I. The VDD Toolchain