GitHub Copilot Reviews

1. Stan

   · Founder at SaaSHub · over 2 years ago
   Indispensable

   It definitely increases my productivity.

   🏁 Competitors: Tabnine

Jules Reviews

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 / 10 days 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 2 months 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 / 3 months ago

Jules mentions (8)

• The 2026 Ultimate Guide to Google for Startups: Funding, Accelerators, and $350k in Credits

  Labs.google – The home for AI experiments like Whisk, Flow and Jules. - Source: dev.to / 7 months ago

• Bubblewrap: A nimble way to prevent agents from accessing your .env files

  I use https://jules.google. The UI is obviously vibe-coded garbage but the underlying system works. And most of the time you don't have to open the UI after you've set it running you just comment on the Github PR. This is clearly an unloved "lab" project that Google will most likely kill but to me the underlying product model is obviously the right one. - Source: Hacker News / 7 months ago

• Claude Code on the Web

  This is very similar to Jules by Google! https://jules.google/ Although I wish that the performance of Jules is worse than Gemini CLI. I hope that this is as good as the Claude Code CLI. - Source: Hacker News / 10 months ago

• Improved Gemini 2.5 Flash and Flash-Lite

  I would be surprised if this dichotomy you're painting holds up to scrutiny. My understanding is Gemini is not far behind on "intelligence", certainly not in a way that leaves obvious doubt over where they will be over the next iteration/model cycles, where I would expect them to at least continue closing the gap. I'd be curious if you have some benchmarks to share that suggest otherwise. Meanwhile, afaik... - Source: Hacker News / 11 months ago

• Cursor CLI

  You can already have that with Jules. It's quite impressive. https://jules.google/. - Source: Hacker News / about 1 year ago