Christian Santos ChrisFrontDev

WSL

https://docs.microsoft.com/en-us/windows/wsl/install

$ wsl --set-default-version 2
$ wsl --install -d ubuntu

ArchWSL

baseado no meu outro tutorial https://gist.github.com/luzfcb/1a7f64adf5d12c2d357d0b4319fe9dcd que é mais atualizado que este. Eu não constumo atualizar esse tutorial, mas é bom para dar uma visão geral simplista das configurações.

Use o pyenv https://github.com/pyenv/pyenv para baixar, instalar e gerenciar múltiplas versões do INTERPRETADOR Python na sua maquina.

Primeiro instale as dependências:

Linux (Ubuntu):

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.

	var mediaJSON = { "categories" : [ { "name" : "Movies",
	"videos" : [
	{ "description" : "Big Buck Bunny tells the story of a giant rabbit with a heart bigger than himself. When one sunny day three rodents rudely harass him, something snaps... and the rabbit ain't no bunny anymore! In the typical cartoon tradition he prepares the nasty rodents a comical revenge.\n\nLicensed under the Creative Commons Attribution license\nhttp://www.bigbuckbunny.org",
	"sources" : [ "http://commondatastorage.googleapis.com/gtv-videos-bucket/sample/BigBuckBunny.mp4" ],
	"subtitle" : "By Blender Foundation",
	"thumb" : "images/BigBuckBunny.jpg",
	"title" : "Big Buck Bunny"
	},
	{ "description" : "The first Blender Open Movie from 2006",
	"sources" : [ "http://commondatastorage.googleapis.com/gtv-videos-bucket/sample/ElephantsDream.mp4" ],

	- Dracula Oficial
	- VSicons
	- Color Highlight
	- EditorConfig for VSCode
	- ESLint
	- Prettier - Code formatter
	- Rocketseat Snippets

	import React from 'react';
	import { StyleSheet, Text, View, Dimensions } from 'react-native';
	import { Video } from 'expo';

	export default class App extends React.Component {
	render() {

	// Set video dimension based on its width, so the video doesn't stretched on any devices.
	// The video dimension ratio is 11 : 9 for width and height
	let videoWidth = Dimensions.get('window').width;

	<!DOCTYPE html>
	<html lang="en">
	<head>
	<meta charset="UTF-8">
	<meta name="viewport" content="width=device-width, initial-scale=1.0">
	<title>Roberto Junior - Software Engineer</title>
	<style>
	* {
	margin: 0;
	padding: 0;