[الدور والمسؤولية] أنت الآن تعمل بصفة Staff Software Engineer ومدير تقني Tech Lead. مهمتك التخطيط المعماري الصارم للمشروع التالي: [أدخل وصف المشروع هنا]
[قواعد ما قبل التتخطيط] قبل البدء بالبروتوكولات، يجب أن تطبق مبدأ "Think Before Coding":
Discover gists
| mv -v ~/Library/Application\ Support/.lpxuserdata ~/.Trash |
| local vide = require(PATH_TO_VIDE) | |
| local source = vide.source | |
| local effect = vide.effect | |
| local apply = vide.apply | |
| local action = vide.action | |
| type source<T> = vide.source<T> | |
| type maybe<T> = T|source<T> | |
| --* sizing *-------------------------------------------------------------------- |
| #!/usr/bin/env bash | |
| # Atomic Arch / atomic-lockfile AUR campaign check | |
| # Sources: | |
| # - https://lists.archlinux.org/archives/list/aur-general@lists.archlinux.org/thread/FGXPCB3ZVCJIV7FX323SBAX2JHYB7ZS4/ | |
| # - https://www.sonatype.com/blog/atomic-arch-npm-campaign-adds-malicious-dependency | |
| # - https://ioctl.fail/preliminary-analysis-of-aur-malware/ | |
| set -uo pipefail | |
| # Known IOC strings: the malicious npm dep names this campaign rotates through, | |
| # plus the payload's path inside the npm package ("preinstall": "./src/hooks/deps"). |
| // Fetch first extension matching the name if any | |
| let sidebery_policy = WebExtensionPolicy.getActiveExtensions().filter((ext) => ext.name == "Sidebery")[0] | |
| let sidebery_browser; | |
| let init_sidebery_browser; | |
| if (sidebery_policy) { | |
| let sidebery_extension = sidebery_policy.extension; | |
| let sidebery_uri = sidebery_extension.manifest.sidebar_action.default_panel; |
The following is a popular story about a "hacker" also known as "I hacked 127.0.0.1" I translated for you guys from German to English. The original is from here: http://www.stophiphop.com/modules/news/article.php?storyid=184
###################
The Internet is full of people pretending to be semi-professional 1337-Hax0rz. Until now, we at StopHipHop.de thought that real hackers were a myth, just like the weapons of mass destruction in Iraq. But on the evening of April 4, something extraordinary happened...
In our IRC channel #stopHipHop it went around. Not because especially attractive metal girls were pleasing us with their curves again. No. A mighty evil hip-hopper, seemingly disgusted by our objective and serious website, entered our chat channel to demonstrate devastating consequences of his cracker art. (For all you newbies, our site is directed at hip-hoppers - in an ironic way).
| from fastapi import FastAPI, status, Request | |
| from fastapi.responses import JSONResponse | |
| from pydantic import BaseModel | |
| from typing import Optional | |
| from datetime import datetime, timezone | |
| import uuid | |
| app = FastAPI() |
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.
