Instantly share code, notes, and snippets. 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. 1. برومبت التخطيط المطوّر (The Planning Protocol) [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": 更新日期 2026/07/13 本文彙整了「淨零碳規劃管理師-初級能力鑑定」113-115 年度的 782 題考古題，內容僅供參考，考試命題不一定會相同，請考生留意。 使用方法：Ctrl + F 直接輸入題目關鍵字搜尋即可

Discord Username Aomei Product Keys. I looked at a JAR file protected using JNIC, version jnic.dev v3.6.0 . I haven't written a full-auto deobfuscater yet, but these notes should be useful for anyone reversing it. The first layer is a LZMA2 compressed .dat file, from which a native library is extracted into a temp dir, and then loaded using System.load . The sample I looked at had 4 different library versions (for different platforms/architectures), and the script I wrote to extract them looks like this: Modern x64 Assembly https://www.youtube.com/playlist?list=PLKK11Ligqitg9MOX3-0tFT1Rmh3uJp7kA set -e, -u, -x, -o pipefail set -o pipefail Original Reference set -e, -u, -x, -o pipefail