Welcome to GeekyGoo — what this blog is
Deep, honest, well-sourced takes on the tech that matters. Here is what GeekyGoo is about, and where to start.
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There’s no shortage of tech news. What’s rare is someone who actually digs in, tells you what holds up and what doesn’t, and links you to the primary sources so you can check the work yourself.
That’s the gap GeekyGoo fills. This is a blog for people who want the real story on the tools and technology they use — not press-release summaries, not spun rewrites, and not hot takes with nothing behind them.
What you’ll find here
- Deep dives, not rewrites. Every article is our own research and analysis — and, where it matters, hands-on testing.
- Sources, always. Where we build on someone else’s reporting or research, we link to it openly at the foot of every article, so you can verify anything and go deeper.
- A clear opinion. We don’t hedge. We tell you what we’d actually use, what we’d skip, and why.
What we cover
Practical, in-the-weeds technology: AI tools and how they really fit into real work, developer tooling, the infrastructure quietly reshaping the web, and the occasional “wait, how does that even work?” explainer. If it’s genuinely useful and we can verify it, it’s fair game.
Where to start
Two pieces that show what we’re going for:
- Claude Code vs. GitHub Copilot vs. Cursor — an honest, workflow-first comparison of the AI coding tools everyone’s arguing about.
- What is MCP? The Model Context Protocol, explained — the open standard that quietly became the “USB-C for AI.”
Stick around
New posts land regularly. If a piece saves you time or changes your mind, that’s the whole point — and if you ever spot something we got wrong, tell us. We’d rather be corrected than confidently wrong.
Welcome aboard. 👋