Lee Trout leetrout

This was a response to a Hacker News comment asking me what I've been up to since 2010. I'm posting it here since HN rejects it with "that comment is too long." I suppose that's fair, since this ended up being something of an autobiography.

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What happened after 2010?

How to easily setup PXE boot for cluster provisioning

This guide will show you how to setup a PXE boot server to provision a cluster of machines. For the sake of this guide, we will be using system agnostic docker containers to simulate the DHCP and the PXE boot server.

Featured technologies:

PXE boot description

Task

Launch a new agent that has access to the following tools: Bash, Glob, Grep, LS, exit_plan_mode, Read, Edit, MultiEdit, Write, NotebookRead, NotebookEdit, WebFetch, TodoRead, TodoWrite, WebSearch. When you are searching for a keyword or file and are not confident that you will find the right match in the first few tries, use the Agent tool to perform the search for you.

When to use the Agent tool:

If you are searching for a keyword like "config" or "logger", or for questions like "which file does X?", the Agent tool is strongly recommended

When NOT to use the Agent tool:

If you want to read a specific file path, use the Read or Glob tool instead of the Agent tool, to find the match more quickly
If you are searching for a specific class definition like "class Foo", use the Glob tool instead, to find the match more quickly
If you are searching for code within a specific file or set of 2-3 files, use the Read tool instead of the Agent tool, to find the match more quickly

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.

	#!/bin/bash

	# Credit to https://gist.github.com/alisdair/ffc7c884ee36ac132131f37e3803a1fe for the excellent original
	# script that this one is based on. This script modifies the original to create the party effect.

	# Generate a `:*-party:` Slack emoji, given a reasonable image
	# input. I recommend grabbing an emoji from https://emojipedia.org/

	set -euo pipefail

	#!/bin/bash

	# Credit to https://gist.github.com/alisdair/ffc7c884ee36ac132131f37e3803a1fe for the excellent original
	# script that this one is based on. This script modifies the original to create the jumbo.

	# Generate a jumbo Slack emoji, given a reasonable image
	# input. I recommend grabbing an emoji from https://emojipedia.org/

	set -euo pipefail

	{
	"type": "object",
	"required": ["name", "description", "identity", "trigraphs"],
	"description": "JSON schema for https://spellcaster.sh",
	"properties": {
	"name": {
	"type": "string",
	"description": "represents an intent, desired state, or outcome."
	},
	"description": {

	#!/bin/bash

	# Credit to https://gist.github.com/alisdair/ffc7c884ee36ac132131f37e3803a1fe for the excellent original
	# script that this one is based on. This script modifies the original to create the all-the-way-down effect.

	# Generate a `:*-all-the-way-down:` Slack emoji, given a reasonable image
	# input. I recommend grabbing an emoji from https://emojipedia.org/

	set -euo pipefail

	#!/bin/bash

	# Run PXE boot server on interface
	# Seems to work with UEFI and Secureboot
	# Spip, 2023
	#
	# Most stuff from https://www.youtube.com/watch?v=E_OlsA1hF4k
	#

	# Check args