Kane Jamison kanejamison

You MUST NOT try and generate a Rails app from scratch on your own by generating each file. For a NEW app you MUST use rails new first to generate all of the boilerplate files necessary.
Create an app in the current directory with rails new .
Use Tailwind CSS for styling. Use --css tailwind as an option on the rails new call to do this automatically.
Use Ruby 3.2+ and Rails 8.0+ practices.
Use the default Minitest approach for testing, do not use RSpec.
Default to using SQLite in development. rails new will do this automatically but take care if you write any custom SQL that it is SQLite compatible.
An app can be built with a devcontainer such as rails new myapp --devcontainer but only do this if requested directly.
Rails apps have a lot of directories to consider, such as app, config, db, etc.
Adhere to MVC conventions: singular model names (e.g., Product) map to plural tables (products); controllers are plural.
Guard against incapable browsers accessing controllers with `allo

How to deploy a Rails 7.1 app with Postgres and Kamal on a single server

I think you have looked at the tutorial from Mr. Heinemeier Hansson at least once or twice and have a similar setup.

rails new kamal_pg --css tailwind --skip-test --database=postgresql

cd kamal_pg

	# config/initializers/honeybadger.rb
	Honeybadger.configure do \|config\|
	config.before_event do \|event\|
	# DB-backed job backends can generate a lot of useless queries
	if event.event_type == "sql.active_record" && event[:query]&.match?(/good_job\|solid_queue/)
	event.halt!
	end

	# Truncate long queries
	if event.event_type == "sql.active_record" && event[:query].present?

	EMOJI_CODEPOINTS = [
	*0x1F600..0x1F64F, # Emoticons
	*0x1F300..0x1F5FF, # Misc Symbols and Pictographs
	*0x1F680..0x1F6FF, # Transport and Map Symbols
	*0x2600..0x26FF, # Misc symbols
	*0x2700..0x27BF, # Dingbats
	*0x1F900..0x1F9FF, # Supplemental Symbols and Pictographs
	*0x1FA70..0x1FAFF # Symbols and Pictographs Extended-A
	]
	def random_emoji = EMOJI_CODEPOINTS.sample.chr(Encoding::UTF_8)

	const chromium = require('chrome-aws-lambda');
	const puppeteer = require('puppeteer-core');
	const extractor = require('unfluff');
	const summarize = require('summarize');


	exports.handler = async (event, context, callback) => {

	console.log('Received event:', JSON.stringify(event, null, 2));

	// By Simon Lydell 2015.
	// This file is in the public domain.

	var stdin = require("get-stdin")
	var tools = require("text-frequencies-analysis")
	var helpers = require("text-frequencies-analysis/lib/helpers")

	stdin(function(text) {
	process.stdout.write(tools.jsonStringifyRow(convert(JSON.parse(text))))
	})

	# -- coding: utf-8 --
	"""
	common-crawl-cdx.py

	A simple example program to analyze the Common Crawl index.

	This is implemented as a single stream job which accesses S3 via HTTP,
	so that it can be easily be run from any laptop, but it could easily be
	converted to an EMR job which processed the 300 index files in parallel.

	#! /usr/bin/env ruby

	require 'watir-webdriver'
	require 'openssl'
	require 'open-uri'
	require 'nokogiri'

	# bad pinterest, having a bad cert
	OpenSSL::SSL::VERIFY_PEER = OpenSSL::SSL::VERIFY_NONE