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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.

Shallow

Real unit test (isolation, no children render)

Simple shallow

Calls:

constructor
render

A Git Workflow for Agile Teams

Mar 2nd, 2009

An efficient workflow for developers in Agile teams that handles features and bugs while keeping a clean and sane history.

At Hashrocket we use git both internally and in our Agile mentoring and training. Git gives us the flexibility to design a version control workflow that meets the needs of either a fully Agile team or a team

	#!/bin/bash
	from bs4 import BeautifulSoup
	import requests
	import urllib2
	import os
	import re, urlparse
	import time
	import pdb
	from interruptingcow import timeout

	// create file:
	sudo vim /usr/share/applications/intellij.desktop

	// add the following
	[Desktop Entry]
	Version=13.0
	Type=Application
	Terminal=false
	Icon[en_US]=/home/rob/.intellij-13/bin/idea.png
	Name[en_US]=IntelliJ

	#!/bin/bash

	# https://gist.github.com/robwierzbowski/5430952/
	# Create and push to a new github repo from the command line.
	# Grabs sensible defaults from the containing folder and `.gitconfig`.
	# Refinements welcome.

	# Gather constant vars
	CURRENTDIR=${PWD##*/}
	GITHUBUSER=$(git config github.user)