Low WeiLin LowWeiLin

Beast Mode

Beast Mode is a custom chat mode for VS Code agent that adds an opinionated workflow to the agent, including use of a todo list, extensive internet research capabilities, planning, tool usage instructions and more. Designed to be used with 4.1, although it will work with any model.

Below you will find the Beast Mode prompt in various versions - starting with the most recent - 3.1

Installation Instructions

Go to the "agent" dropdown in VS Code chat sidebar and select "Configure Modes".
Select "Create new custom chat mode file"

Auto reconnect to wifi when lost connection

Before you start, make sure ip command is available on your system. In modern Linux distributions, ip replaces older ifconfig command. If net-tools package (that includes ifconfig) is not installed and you prefer using it, you can install it via sudo apt-get install net-tools.

Create script file

Use touch /home/pi/wifi-reconnect.sh to create a shell script file, with the following content:

#!/bin/bash

FWIW: I (@rondy) am not the creator of the content shared here, which is an excerpt from Edmond Lau's book. I simply copied and pasted it from another location and saved it as a personal note, before it gained popularity on news.ycombinator.com. Unfortunately, I cannot recall the exact origin of the original source, nor was I able to find the author's name, so I am can't provide the appropriate credits.

Effective Engineer - Notes

By Edmond Lau
Highly Recommended 👍
http://www.theeffectiveengineer.com/

What's an Effective Engineer?

tmux cheatsheet

As configured in my dotfiles.

start new:

tmux

start new with session name:

	import numpy as np

	def make_lsh_model(nb_tables, nb_bits, nb_dimensions, vector_sample):
	# vector_sample: np arr w/ shape (2 * nb_tables * nb_tables, nb_dimensions).
	# normals, midpoints: np arrs w/ shape (nb_bits, nb_dimensions)
	# thresholds: np arrs w/ shape (nb_bits)
	# all_normals, all_thresholds: lists w/ one normal, one threshold per table.
	all_normals, all_thresholds = [], []
	for i in range(0, len(vector_sample), 2 * nb_bits):
	vector_sample_a = vector_sample[i:i + nb_bits]