Marcelo Oliveira capyvara

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.

CUSTOM GAME ENGINES: A Small Study

WARNING: Article moved to separate repo to allow users contributions: https://github.com/raysan5/custom_game_engines

A couple of weeks ago I played (and finished) A Plague Tale, a game by Asobo Studio. I was really captivated by the game, not only by the beautiful graphics but also by the story and the locations in the game. I decided to investigate a bit about the game tech and I was surprised to see it was developed with a custom engine by a relatively small studio. I know there are some companies using custom engines but it's very difficult to find a detailed market study with that kind of information curated and updated. So this article.

Nowadays lots of companies choose engines like [Unreal](https:

Kill user tty/pts sessions in Linux

Commands

w: show who is logged on and what they are doing
who: show who is logged on
tty: show current users pseudo terminal
ps -ft pts/1: get process id for the pseudo terminal
pkill: signal process based on name and other attributes

	#
	# Git attributes for Unity projects
	#
	# Compiled by the GameCI community under the MIT license - https://game.ci
	#
	# Latest version at https://gist.github.com/webbertakken/ff250a0d5e59a8aae961c2e509c07fbc
	#

	# Ensure that text files that any contributor introduces to the repository have their line endings normalized
	* text=auto

	import argparse
	import csv

	import rows


	parser = argparse.ArgumentParser()
	parser.add_argument("input_filename")
	parser.add_argument("output_filename")
	args = parser.parse_args()

	#region MIT License
	//Copyright(c) 2020 Artemious
	// https://gist.github.com/artemious7/c7d9856e128a8b2e9e92d096ca0e69ee/
	// https://stackoverflow.com/questions/61816775/c-sharp-serilog-how-to-log-with-string-interpolation-and-keep-argument-names-in/61816776#61816776

	//Permission is hereby granted, free of charge, to any person obtaining a copy
	//of this software and associated documentation files (the "Software"), to deal
	//in the Software without restriction, including without limitation the rights
	//to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
	//copies of the Software, and to permit persons to whom the Software is

	#!/bin/bash
	# shellcheck disable=SC2102

	set -euo pipefail


	renew_creds() {
	unset AWS_ACCESS_KEY_ID
	unset AWS_SECRET_ACCESS_KEY
	unset AWS_SESSION_TOKEN

	using System;
	using System.Collections.Concurrent;
	using System.Collections.Generic;
	using System.Reflection;
	using System.Runtime.InteropServices;
	using Unity.Collections.LowLevel.Unsafe;
	using UnityEditor;
	using UnityEditor.IMGUI.Controls;
	using UnityEngine;
	using Unity.Entities;

	// NOTE DONT put in an editor folder!
	using UnityEngine;

	public class AutohookAttribute : PropertyAttribute
	{
	}


	DOMAIN ?= mydomain.com

	COUNTRY := IT
	STATE := IT
	COMPANY := Evil Corp.

	# credits to: https://gist.github.com/fntlnz/cf14feb5a46b2eda428e000157447309

	# usage: