Ruby Weekly Reviews

GitHub Copilot Reviews

1. Stan

   · Founder at SaaSHub · over 2 years ago
   Indispensable

   It definitely increases my productivity.

   🏁 Competitors: Tabnine

Ruby Weekly mentions (20)

• Simple decorators with SimpleDelegator

  I was inspired by a great article: Build a minimal decorator with Ruby in 30 minutes By Rémi - @remi@ruby.social Thanks to Ruby Weekly for sharing it! - Source: dev.to / about 1 year ago

• Sloth search for Ruby Weekly – a 100 minute hack turned 20h open sauce project

  Sloth Finder helps you encounter the most amazing weekly Ruby articles around your favorite Ruby and Rails topics for the past decade sourced from [Ruby Weekly](https://rubyweekly.com/). This tool was made because the creator, a Sloth in human form, was interested in all the greatest articles around his favorite weird Ruby niche, so he built a primitive search and looked for: ```. - Source: Hacker News / about 2 years ago

• An update to the /r/ruby subreddit

  Please post below with your favorite places to talk to other Rubyists, such as https://www.ruby-forum.com/ or https://discuss.rubyonrails.org/. Or places to read Ruby news like https://rubyweekly.com/. If you've nowhere else to talk about Ruby, you can post your favorite memory of Ruby Tuesday (the restaurant). If you've never been there, you can comment about how you imagine it would be. Source: about 3 years ago

• Chrome considers gems to be dangerous?

  Yes, but it took several hours and a lot of people reaching out to their contacts at Google for a human at Google to get involved and reverse the block. We still don't know how or why metasploit-payloads got falsely reported; was it malicious/intentional or an automated code scanning system at Google? Also, since Google Safe Browsing List is used by many other services to filter out "bad websites", it caused a lot... Source: about 3 years ago

• Individual newsletters or website with #Ruby or #Rails content?

  Peter Cooper’s https://rubyweekly.com by far one of the best. Source: over 3 years ago

GitHub Copilot mentions (388)

• Test smarter with Snagly: 30 open-source QA skills for AI coding agents

  Snagly is a free, MIT-licensed set of 30 skills for AI coding agents — GitHub Copilot, Claude Code, Cursor, Codex and 70+ others — that turn "an AI that can drive a browser" into "an AI that tests like a QA professional." A skill, if you haven't met them yet, is a reusable instruction set that teaches the agent a specific working method — when to use it, what rigor it requires, what evidence to capture, and what... - Source: dev.to / 1 day ago

• I almost credited llms.txt for a Google AI Mode win. Then I read what Google actually says.

  Where llms.txt genuinely gets read is a different layer: coding and agent tooling — Cursor, Claude Code, GitHub Copilot, Windsurf — pulling a documentation site's pages with less token waste, plus emerging agent protocols like OpenAI's Agents SDK. That's real, and it's growing fast. - Source: dev.to / about 1 month ago

• GitHub Copilot for Engineers: Getting Better Results

  You need an active GitHub Copilot subscription. Plans are available at individual, business, and enterprise tiers at github.com/features/copilot. Once active, all tools use your GitHub account credentials. - Source: dev.to / 2 months ago

• Agentic: Which App/Harness Is Best for Angular Development?

  For over a decade PhpStorm (starting in my WordPress era) and later WebStorm have been my main IDEs for web development. So when GitHub Copilot launched, it was a natural choice to try it out in WebStorm. It was one of the first AI coding tools I used, and it had a big impact on how I thought about AI-assisted coding. - Source: dev.to / 2 months ago

• Your Design System Needs An MCP Server

  Before we get into it, there are some things about AI usage worth addressing. I've had my fair share of scepticism in the past, but recent model releases have made it increasingly difficult to argue that AI isn't a viable tool for the majority of workstreams, including building user interfaces. Most large language models are trained on public data scraped from the internet, which means your internal design system... - Source: dev.to / 2 months ago