k16shikano

name	japanese-tech-writing
description	日本語の技術文書・書籍原稿の文章規範。整形（一文一行、引用ブロック、脚注、コラム記法）、段落と論証の構成（パラグラフライティング）、論証の厳密さ（ツッコミどころの除去）、読み手の負荷の管理、視点と語り、演出の抑制、LLM っぽい空句の禁止、冗長の排除を定める。日本語で技術書の章、草稿、記事、解説文を書くとき、または推敲・リライトするときに使用する。

日本語技術文書の文章規範

日本語で技術的な原稿（書籍の章、記事、解説文）を書く・推敲するときは、以下の規範に従う。

整形

bradtraversy

Common Terminal Commands

Key Commands & Navigation

Before we look at some common commands, I just want to note a few keyboard commands that are very helpful:

• Up Arrow: Will show your last command
• Down Arrow: Will show your next command
• Tab: Will auto-complete your command
• Ctrl + L: Will clear the screen

karpathy

LLM Wiki

A pattern for building personal knowledge bases using LLMs.

This is an idea file, it is designed to be copy pasted to your own LLM Agent (e.g. OpenAI Codex, Claude Code, OpenCode / Pi, or etc.). Its goal is to communicate the high level idea, but your agent will build out the specifics in collaboration with you.

The core idea

Most people's experience with LLMs and documents looks like RAG: you upload a collection of files, the LLM retrieves relevant chunks at query time, and generates an answer. This works, but the LLM is rediscovering knowledge from scratch on every question. There's no accumulation. Ask a subtle question that requires synthesizing five documents, and the LLM has to find and piece together the relevant fragments every time. Nothing is built up. NotebookLM, ChatGPT file uploads, and most RAG systems work this way.

ashokvarmamatta

🧠 Make Your AI Coding Assistant 500x Smarter

Stop Burning Tokens — Use Knowledge Graphs + MCP to Give AI a Map of Your Code

qoomon

Conventional Commit Messages

See how a minor change to your commit message style can make a difference.

git commit -m"<type>(<optional scope>): <description>" \
  -m"<optional body>" \
  -m"<optional footer>"

CHSuworatrai

VMware vSphere 6 Enterprise Plus	
1C20K-4Z214-H84U1-T92EP-92838
1A2JU-DEH12-48460-CT956-AC84D
MC28R-4L006-484D1-VV8NK-C7R58
5C6TK-4C39J-48E00-PH0XH-828Q4
4A4X0-69HE3-M8548-6L1QK-1Y240

VMware vSphere with Operations Management 6 Enterprise	
4Y2NU-4Z301-085C8-M18EP-2K8M8
1Y48R-0EJEK-084R0-GK9XM-23R52

bradtraversy

import requests
from bs4 import BeautifulSoup
from csv import writer

response = requests.get('http://codedemos.com/sampleblog/')

soup = BeautifulSoup(response.text, 'html.parser')

posts = soup.find_all(class_='post-preview')

bradtraversy

GENERATORS:

• Text Content Generator - http://www.lipsum.com
• Favicon Generator - http://tools.dynamicdrive.com/favicon
• Data Generator - https://mockaroo.com/
• Mobile Mockup Generator - https://mockuphone.com
• Logo Generator - https://www.logaster.com
• UUID Generator - https://www.uuidgenerator.net/
• Hash Generator - https://passwordsgenerator.net/sha256-hash-generator/
• Ultimate Code Generator - https://webcode.tools/