Bryan Drewery bdrewery

tmux shortcuts & cheatsheet

start new:

tmux

start new with session name:

tmux new -s myname

Locate the section for your github remote in the .git/config file. It looks like this:

[remote "origin"]
	fetch = +refs/heads/*:refs/remotes/origin/*
	url = git@github.com:joyent/node.git

Now add the line fetch = +refs/pull/*/head:refs/remotes/origin/pr/* to this section. Obviously, change the github url to match your project's URL. It ends up looking like this:

Workarounds for Netflix and the blocking of Hurricane Electric IPv6 tunnels

The dreaded "You seem to be using an unblocker or proxy." error message. Cool story bro.

This gist was essentially created out of my own rant about Netflix being hostile to IPv6 tunnel services since June 2016. You are welcome to read my opinion on the matter, this is the more technical side to the issue and how to combat it within your own network.

Since I wrote this, various GitHub users have contributed their thoughts and ideas which has been incorporated into this gist. Thank you to everyone who have contributed their own methods and implementations.

The problem

Netflix now treats IPv6 tunnel brokers (such as Hurricane Electric) as proxy servers. A while ago it became apparent to users and Netflix that somewhat by accident, IPv6 tunnel users were being served content outside of their geolocation because of the way Netflix was identifyi

TL;DR
Zsh initializations
- Zsh way of $PATH
- the special macOS
/usr/libexec/path_helper

The .*shrc file

FAQ on the xz-utils backdoor (CVE-2024-3094)

This is a living document. Everything in this document is made in good faith of being accurate, but like I just said; we don't yet know everything about what's going on.

Update: I've disabled comments as of 2025-01-26 to avoid everyone having notifications for something a year on if someone wants to suggest a correction. Folks are free to email to suggest corrections still, of course.

Background

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.

	# simple event / exception handling in bash
	#
	# onFoo(){
	# echo "onFoo() called width arg $1!"
	# }
	#
	# onExit(){
	# echo "onExit called!"
	# }
	#

	# A script to automate the timings of Rust compilation benchmarks used at
	# https://www.reddit.com/r/rust/comments/qgi421/doing_m1_macbook_pro_m1_max_64gb_compile/
	import sys,os
	import subprocess
	import tempfile
	import time
	import json

	# You need to have the wasm32-unknown-unknown target installed, use
	# `rustup target install wasm32-unknown-unknown` to get it.

	---
	- hosts: localhost
	connection: local
	gather_facts: true

	tasks:
	- name: Add APT repositories
	when: ansible_os_family == 'Debian'
	become: true
	block: