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How I'm Using MDX Frontmatter to Scale devportals.tech

Building devportals.tech has been an exercise in practicing what I preach about documentation engineering. One of the most impactful decisions I made early was leveraging MDX frontmatter not just for basic metadata, but as the foundation for scalable content workflows. Here’s how it’s working in practice.

When I first set up this Astro Starlight site, I could have just used basic Markdown. But knowing I wanted to build something that demonstrates professional documentation practices, I started with structured frontmatter from day one:

---
title: "Content Branching Strategy for Documentation Teams"
description: "How to manage documentation releases, staging, and quality control using Git workflows"
date: 2025-09-23
authors:
- name: Joaquin Romo
tags:
- git-workflow
- content-management
- documentation-strategy
- staging
---

Simple, but it’s already paying dividends.

As I’ve added more content to the site, patterns are emerging that I never planned but are incredibly valuable:

My tags are becoming a taxonomy that helps visitors (and me) understand the content landscape:

  • content-strategy for high-level planning topics
  • git-workflow for technical implementation details
  • documentation-strategy for process and methodology
  • astro-starlight for platform-specific insights

The Starlight Blog plugin automatically generates tag pages, so this creates navigation paths I didn’t have to manually build.

Even as the only author right now, having structured author metadata sets me up for:

  • Future collaboration - The schema is ready when I invite guest writers
  • Professional presentation - It shows I think about authorship professionally
  • Content attribution - If I repurpose content elsewhere, attribution is baked in

Every piece has a clear publication date, and I’m starting to add lastUpdated fields for major revisions. This helps me:

  • Track content freshness - I can see what might need updates
  • Show visitors currency - Recent dates build confidence
  • Plan maintenance - I can query for older content that needs review

The structured metadata makes my Git workflow much more manageable. When I’m working on new content in feature branches, I can easily see:

  • What’s ready to publish (clean frontmatter)
  • What needs more work (missing descriptions, placeholder content)
  • How content fits into the overall site structure

Having consistent frontmatter forces me to think about each piece:

  • What’s the actual value proposition? (title and description)
  • Who benefits from reading this? (tags and implicit audience)
  • How does this fit the larger narrative? (category and relationships)

It’s like having a checklist that ensures I’m not just writing, but creating strategic content.

I’m using Astro’s content collections with a schema that validates my frontmatter:

const blogSchema = z.object({
title: z.string(),
description: z.string(),
date: z.date(),
authors: z.array(z.object({
name: z.string()
})),
tags: z.array(z.string())
});

This catches mistakes early and ensures consistency. When I tried to publish a post with malformed dates or missing descriptions, the build failed with clear error messages.

As devportals.tech grows, I’m planning to leverage this metadata foundation for:

I want to build scripts that analyze my content patterns:

  • Which topics get the most tags (showing my focus areas)
  • Content gaps where I have few posts
  • Author productivity metrics (just for fun as a solo creator)

The structured data opens possibilities for:

  • “Related content” sections based on tag similarity
  • Topic clustering for themed reading paths
  • Content recommendations based on visitor interests

Rich metadata makes automated social media posts more meaningful. Instead of generic “new post” notifications, I can generate contextual descriptions that highlight the specific value each piece provides.

What I’m really doing is treating my personal documentation site like a product. The frontmatter discipline forces me to:

  • Think strategically about each piece of content
  • Build systems that scale beyond manual management
  • Demonstrate professionalism in how I approach documentation

For anyone building their own documentation site, I’d recommend starting with structured frontmatter even if you’re not sure how you’ll use it all. The discipline of thinking about metadata makes you a better content creator, and the flexibility enables capabilities you haven’t thought of yet.

The question isn’t whether you need metadata - it’s whether you want to build something that can grow intelligently or just accumulate content randomly.


Have you found creative ways to use frontmatter in your own documentation projects? I’d love to hear about approaches that have worked well for you.