
If you’ve ever opened a Markdown file in a modern dev project and saw three dashes at the top with some random-looking key-value pairs… You probably thought:
“What the hell is frontmatter and why is it staring at me first thing in the file?”
Let’s fix that in 2 minutes.
Frontmatter is metadata you place at the top of a Markdown file.
Like a tiny JSON/YAML passport that tells your site generator:
It always sits at the top, wrapped in ---.
Example:
---
title: "WTF is Frontmatter?"
date: "2025-12-07"
tags: ["dev", "web", "static-sites"]
image: "/imgs/frontmatter.png"
description: "A no-nonsense guide to frontmatter."
---
That’s it. It looks simple… because it is.
But it’s stupidly powerful.
Because Markdown alone is dumb. It only knows how to format text.
But modern sites need more:
Instead of stuffing these into filenames or code, we keep them in one neat block at the top.
Frontmatter = content + config in one file.
Almost everywhere in modern content systems:
If you’ve built a docs site, portfolio, blog, or design system recently… You’ve touched frontmatter (even if you ignored it like a red flag text).
When your site builds, it:
Example result:
draft: true stops it from publishingimage: becomes your preview thumbnailAll automated.
Because it’s the one place where everyone speaks the same language.
One block. No dev ops. No database. No dashboard.
Just Markdown with a brain.
If you remember nothing:
Frontmatter is the metadata block at the top of a Markdown file that tells your site how to treat the page.
It’s simple. It’s universal. And once you get it, your entire content workflow becomes cleaner.

Everything you need to know about how LLMs break text into tokens - and why it explains most of their weird behaviors.
AI
Jev only answers yes/no or pick-one. 16,000 calls: against gpt-5.4-mini and gpt-5.6-luna on four public datasets, then on a few thousand real pipeline decisions. Where it wins, where it breaks, how to use it.
Engineering
A ground-up map of HTTP, REST, SOAP, WSDL, XSD, GraphQL, gRPC and WebSockets: what each one is, what it sends, and how it tells you what it can do.
Engineering