GitHub Copilot Reviews

1. Stan

   · Founder at SaaSHub · over 2 years ago
   Indispensable

   It definitely increases my productivity.

   🏁 Competitors: Tabnine

Google Gemma 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

Google Gemma mentions (13)

• Your AI, Your Device, Your Data - Introducing Aide

  Google AI, for running this challenge and for the work on Gemma, especially for prioritizing multimodal and translation capabilities in the Gemma family of models, which is exactly what made an offline assistant like this realistic. - Source: dev.to / 3 months ago

• Gemma 4 is the small-model tier agent stacks were waiting for

  Google's positioning of Gemma 4 makes this explicit. The 26B and 31B variants are pitched for "advanced reasoning"; the E2B and E4B variants are pitched for "maximum compute and memory efficiency" and "mobile and IoT devices" (source). That second tier is the one most agent-system writeups skip past on the way to discussing the flagship. It is also the one that changes the architecture. - Source: dev.to / 3 months ago

• The Master Algorithm

  The goalpost-movers like to pick at each of those and say "yes, but, it doesn't do this thing very well and that thing doesn't really count because of the following hand-wavy reasons." But if you read the book, it's obvious that everything we all take for granted nowadays was far-off science fiction in 2015. AI researchers literally dreamed of machines that could do half of what ChatGPT or Claude does before... - Source: dev.to / 4 months ago

• Small models, big ideas: what Google Gemma and MoE mean for developers

  We at zyte-devrel try to stay plugged into what is happening in the AI and developer tooling space, not just because it is interesting, but because a lot of it starts having real implications for how we build and think about web data pipelines. Lately, one development that has had us genuinely curious is Google's new Gemma 4 model family, and specifically the direction it points toward with Mixture of Experts... - Source: dev.to / 4 months ago

• Unusual Capabilities of Nano Banana (Examples)

  Oh very nice I wasn't aware of that [1] [2]. Adding the links as well. [1] https://deepmind.google/models/gemma [2] https://huggingface.co/google/gemma-7b [2]. - Source: Hacker News / 11 months ago