DeepMind Reviews

GitHub Copilot Reviews

1. Stan

   · Founder at SaaSHub · over 2 years ago
   Indispensable

   It definitely increases my productivity.

   🏁 Competitors: Tabnine

DeepMind mentions (13)

• Gemini vs. ChatGPT for Coding: A Developer's Guide

  Gemini is Google's next-generation family of large language models (LLMs), developed by Google DeepMind. Introduced in December 2023, Gemini is a multimodal AI system capable of understanding and generating text, images, audio, and video. The Gemini models are optimized for various use cases and come in different sizes: Pro, Flash, and Flash-Lite. - Source: dev.to / 3 months ago

• The Text Field is the New Dashboard

  Google's Antigravity IDE extends this pattern further. Built on VS Code by the Google DeepMind team, Antigravity operates on an agent-first architecture. A command like "Update the payment handler to support the new Stripe endpoint and ensure all unit tests pass" invokes multiple asynchronous agents. They read documentation, edit files across the codebase, run terminal commands, and verify test outcomes. The... - Source: dev.to / 3 months ago

• What the F*ck Are We Even Measuring? The Definition Problem in AI Evals

  Everyone sees what they want in their benchmarks. OpenAI sees reasoning capability. Anthropic sees safety and helpfulness. Google sees multimodal understanding. The academic community sees generalization. Same numbers, completely different conclusions. - Source: dev.to / 3 months ago

• Anthropic Beat the Pentagon in Court — Here's Why It Matters

  Think about what that means in practice. OpenAI's usage policies restrict "weapons development" and "surveillance." Google's Gemini policies prohibit "generating content that facilitates violence." If the Pentagon can blacklist a company for maintaining such policies, every AI provider would face the same choice: remove your safety guardrails or lose government business entirely. - Source: dev.to / 5 months ago

• From Fast Models to OT CVEs: Shipping Faster Without Shipping Blind

  — Google announcement note, Gemini update. - Source: dev.to / 5 months 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 / 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