Skip to content

Instantly share code, notes, and snippets.

View Self-Perfection's full-sized avatar

Alexander Meshcheryakov Self-Perfection

View GitHub Profile

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.

@patyearone
patyearone / claude-code-statusline-guide.md
Last active June 18, 2026 08:08
Claude Code Status Line: Usage Limits, Pacing Targets, and Context Window - Complete guide with all the gotchas

Claude Code Status Line: Usage Limits, Pacing Targets, and Context Window

A complete guide to building a Claude Code status line that shows your 5-hour and weekly usage limits with color-coded pacing, reset times, and context window usage — all from data Claude Code already provides via stdin.

What you get:

your-project │ ctx 0% │ 5hr (3pm) 16/65% │ wk (fri,12pm) 44/57% │ Opus 4.6 (1M context)