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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.

@alekseykulikov
alekseykulikov / index.md
Last active March 23, 2026 03:33
Principles we use to write CSS for modern browsers

Recently CSS has got a lot of negativity. But I would like to defend it and show, that with good naming convention CSS works pretty well.

My 3 developers team has just developed React.js application with 7668 lines of CSS (and just 2 !important). During one year of development we had 0 issues with CSS. No refactoring typos, no style leaks, no performance problems, possibly, it is the most stable part of our application.

Here are main principles we use to write CSS for modern (IE11+) browsers:

# Node-WebKit CheatSheet
# Download: https://github.com/rogerwang/node-webkit#downloads
# Old Versions: https://github.com/rogerwang/node-webkit/wiki/Downloads-of-old-versions
# Wiki: https://github.com/rogerwang/node-webkit/wiki
# How: https://github.com/rogerwang/node-webkit/wiki/How-node.js-is-integrated-with-chromium
# 1. Run your application.
# https://github.com/rogerwang/node-webkit/wiki/How-to-run-apps