GitHub Copilot Reviews

1. Stan

   · Founder at SaaSHub · over 2 years ago
   Indispensable

   It definitely increases my productivity.

   🏁 Competitors: Tabnine

Kiro 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 / 12 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 / 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

Kiro mentions (89)

• I deleted my source code and regenerated it in a different language

  2025 was the year the industry moved to specifications. GitHub Spec Kit brought structure to agent workflows. Amazon Kiro built an IDE around requirements, design, and tasks. Tessl made the strongest commercial case that specs are durable and code is disposable. Sean Grove of OpenAI put it memorably in The New Code: code is a lossy projection of the specification. - Source: dev.to / 18 days ago

• Nuxt vs SvelteKit: What works better?

  BTW, I used Kiro for all my research for this post and video! Check it out , it's an amazing harness! - Source: dev.to / 26 days ago

• Trusting Kiro for Agentic Development

  While all the attention is collected over OpenAI Codes, Claude Code and Cursor, Kiro has its own circle with its own capabilities and potential. It's a tool officially built by AWS, and kiro.dev is the site to learn all about it. - Source: dev.to / about 1 month ago

• TanStack Start vs Nuxt: One Framework to rule them all?

  One last note. I did all the research for the video and this post in Kiro, an agent that works on the IDE, CLI and Web. - Source: dev.to / about 1 month ago

• Nano Banana 2 Lite with Kiro

  ⢀⣴⣶⣶⣦⡀⠀⠀⠀⠀⢀⣴⣶⣦⣄⡀ ⢀⣴⣶⣶⣦⡀ ⢀⣴⣶⣶⣶⣶⣶⣶⣶⣶⣶⣦⣄⡀ ⢀⣠⣴⣶⣶⣶⣶⣶⣦⣄⡀ ⢰⣿⠋⠁⠈⠙⣿⡆⠀⢀⣾⡿⠁ ⠈⢻⡆ ⢰⣿⠋⠁⠈⠙⣿⡆ ⢰⣿⠋⠁ ⠈⠙⠻⣦ ⣴⡿⠟⠋⠁ ⠈⠙⠻⢿⣦ ⢸⣿⠀⠀⠀⠀⣿⣇⣴⡿⠋⠀⠀ ⢀⣼⠇ ⢸⣿⠀⠀⠀⠀⣿⡇ ⢸⣿⠀⠀⠀⢠⣤⣤⣤⣤⣄ ⣿⡆ ⣼⡟⠀⠀⠀ ⣀⣀⣀ ⢻⣧ ⢸⣿⠀⠀⠀⠀⣿⡿⠋⠀⠀ ⢀⣾⡿⠁ ⢸⣿⠀⠀⠀⠀⣿⡇ ⢸⣿⠀⠀⠀⢸⣿⠉⠉⠉⣿⡇ ⣿⡇ ⣼⡟⠀⠀ ⣰⡿⠟⠛⠻⢿⣆⠀⠀ ⢻⣧ ⢸⣿⠀⠀⠀⠀⠙⠁⠀⠀ ⢀⣼⡟⠁ ⢸⣿⠀⠀⠀⠀⣿⡇ ⢸⣿⠀⠀⠀⢸⣿⣶⣶⡶⠋⠀ ⣿⠇ ⢰⣿⠀⠀⠀⢰⣿⠀⠀⠀ ⣿⡆⠀⠀ ⣿⡆ ... - Source: dev.to / about 2 months ago