Бесплатная книга-сайт на русском, полный гайд
Advanced Bash-Scripting Guide
BASH — Bourne-Again SHell (что может переводится как «перерожденный шел», или «Снова шел Борна(создатель sh)»), самый популярный командный интерпретатор в юниксоподобных системах, в особенности в GNU/Linux. Ниже приведу ряд встроенных команд, которые мы будем использовать для создания своих скриптов.
>break выход из цикла for, while или until
PS C:\Users\User> npm i -g opencode-ai
added 3 packages in 1m
npm warn install-scripts 1 package has install scripts not yet covered by allowScripts:
npm warn install-scripts opencode-ai@1.18.25 (postinstall: node ./postinstall.mjs)
npm warn install-scripts
npm warn install-scripts Run `npm install -g --allow-scripts=opencode-ai` to allow these scripts once, or `npm config set allow-scripts=opencode-ai --location=user` to allow them for all global installs.
npm notice
cd /d %ProgramFiles(x86)%\Microsoft Office\Office16
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.
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.
| Latency Comparison Numbers (~2012 except when noted) | |
| ---------------------------------- | |
| L1 cache reference 0.5 ns | |
| Branch mispredict 5 ns | |
| L2 cache reference 7 ns 14x L1 cache | |
| Mutex lock/unlock 25 ns | |
| Main memory reference 100 ns 20x L2 cache, 200x L1 cache | |
| Compress 1K bytes with Zippy 3,000 ns 3 us | |
| Send 1K bytes over 1 Gbps network 10,000 ns 10 us | |
| Read 4K randomly from SSD* 150,000 ns 150 us ~1GB/sec SSD |
Notes on Martin Kleppmann's excellent Designing Data-Intensive Applications.
한국어 번역 (Korean translation): nikke-pc-launcher-compromise_ko.md
Caution
From 2026-09-27, four official JavaScript files on Level Infinite's CDN contained attacker code. The NIKKE PC launcher loads these files. From Oct 23 at the latest, opening the launcher could install a remote-control agent: while the launcher was open, the attacker could run any command on your machine, read any file and take screenshots.
Update, 2026-11-04 12:11 GMT: Level Infinite confirmed a fix on Nov 4 in a statement on X (see Summary). Three of the files were replaced on Nov 3 between 17:04 and 17:23 GMT. The fourth, FeedList.feb647c9.js, was cleaned at the origin on Oct 28, but some CDN servers kept the modified copy until Nov 4 between 03:12 and 03:21 GMT. On Nov 4 at 11:20 GMT all four files were clean on the four CDN servers checked. The attacker's server no longer answered at 18:31 GMT on Nov 3. None of
| import json | |
| import sqlite3 | |
| import os | |
| DB_PATH = "C:/ProgramData/Cold Turkey/data-app.db" | |
| def activate(): |
| { | |
| "maxEffortLevel": "medium", | |
| "permissions": { "defaultMode": "acceptEdits" }, | |
| "env": { | |
| "ANTHROPIC_BASE_URL": "http://localhost:20128", | |
| "ANTHROPIC_AUTH_TOKEN": "YOUR OMNIROUTE API KEY", | |
| "ANTHROPIC_API_KEY": "", | |
| "ANTHROPIC_MODEL": "YOUR OMNIROUTE COMBO", | |
| "ANTHROPIC_DEFAULT_OPUS_MODEL": "YOUR OMNIROUTE COMBO", | |
| "ANTHROPIC_DEFAULT_SONNET_MODEL": "YOUR OMNIROUTE COMBO", |