GitHub Copilot Reviews

1. Stan

   · Founder at SaaSHub · over 2 years ago
   Indispensable

   It definitely increases my productivity.

   🏁 Competitors: Tabnine

Defang 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 / 26 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 / 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 / 3 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 / 3 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

Defang mentions (4)

• A Different Way to Think About Deploying Containers to the Cloud

  At Defang, our approach to the original post’s problem is different. Docker Compose is more of a logical description of your application, expressing relationships between services, what’s exposed, etc. Our tool takes a standard Docker Compose file and turns it into cloud‑native infrastructure on AWS or GCP based on some parameters. So when you’re ready to deploy, instead of typing your usual docker compose up, you... - Source: dev.to / 10 months ago

• Deploy n8n to Your Cloud in Minutes with Defang

  The combination of n8n and Defang gives you the best of both worlds: a powerful AI orchestration platform and a painless way to run it in your own cloud. n8n’s recent funding round underlines how important orchestration and coordination are for real‑world AI applications, while Defang’s deployment model removes the DevOps burden. By generating the n8n sample, configuring a handful of secrets and running defang... - Source: dev.to / 11 months ago

• Deploying n8n to AWS with Defang

  A Defang account (sign up at defang.io). - Source: dev.to / 11 months ago

• Ask HN: What are some cool or underrated tech companies based in Canada?

  We are building some exciting cloud deployment tools at https://defang.io. We are making it super easy to manage your deployments through the compose.yaml file you probably already have. The idea is to have a single definition of your application, that you can use locally, and project it into any cloud. We're a small team based in Vancouver. If you're in town, reach out and come visit: jordan.stephens@defang.io. - Source: Hacker News / about 1 year ago