zhengjia

=Navigating=
    visit('/projects')
    visit(post_comments_path(post))

=Clicking links and buttons=
    click_link('id-of-link')
    click_link('Link Text')
    click_button('Save')
    click('Link Text') # Click either a link or a button
    click('Button Value')

saetia

OS X Preferences

---

most of these require logout/restart to take effect

# Enable character repeat on keydown
defaults write -g ApplePressAndHoldEnabled -bool false

# Set a shorter Delay until key repeat

maca

#! /usr/bin/env ruby
# usage: 
# $ das_download.rb email password [download_directory]

require 'mechanize'
# gem 'mechanize-progressbar'

email    = ARGV[0] or raise('Please provide the email address for your account')
password = ARGV[1] or raise('Please provide the password for your account')
path     = ARGV[2] || './' 

bhserna

Where is the app?

This are different examples of doing the same thing, "mark a notification as read", and the pros and cons that I see in each example

1. - Logic in the model

• The user clicks the notification link
• The system POSTs to the action "notifications/:id/mark_as_read"
• The controller calls the method Notification#mark_as_read
• The model updates the attribute "read" saves the Notification record

Nosfheratu

class MyMailer < ApplicationMailer
  def send_invoice user, invoice
    @user = user
    @invoice = invoice
    invoice_attachment = WickedPdf.new.pdf_from_string(render_to_string(pdf: "invoice", template: 'payments/charges/invoice.pdf.erb'))
    attachments["I#{sprintf('%06d', @invoice.id)}.pdf"] = invoice_attachment
    mail(to: @user.email,
      subject: "Your invoice", template_path: 'users_mailer')
  end
end

Hegghammer

Working Clawdbot/Moltbot setup with local Ollama model

[Update 2026-02-02: nemotron-3-nano also performs well on same setup; see comment below]

This is a guide to setting up Clawdbot/Moltbot with a local Ollama model that actually works -- meaning it has good tool use and decent speed. The main requirement is 48GB of VRAM. I have yet to find a model that fits on less than this and still works on Moltbot.

The setup involves creating a tool-tuned variant of qwen2.5:72b and modifying a range of configs in Moltbot. At the end you'll get a local Moltbot instance that can use tools (exec, read, write, web search), read skills, and perform agentic tasks without any cloud API dependencies. On my system I get ~16 t/s and have yet to come across a tool/skill that my bot can't use.

Claude Opus wrote the first draft of this Gist, then I (a human) checked and edited it.