Jamdesk
Jamdesk is a docs-as-code platform
We built 8 free and open sourced MDX & docs utilities. • MDX formatter, validator, viewer
• MDX → Markdown • Markdown → HTML
• YAML validator
• JSON <> YAML
• CSV → Markdown tables
The Definitive API Documentation Pricing Comparison [2026]
This report provides an apples-to-apples cost analysis of eight documentation platforms across two scenarios: Jamdesk, Mintlify, GitBook, ReadMe, Redocly, Stoplight, Document360, and Archbee. The findings are significant and range from $348 to over $30,000 annually.
https://www.jamdesk.com/blog/the-definitive-api-documentation-pricing-comparison-2026-2
Learn about JavaScript's AbortController and how it can do more than just cancel.
https://www.jamdesk.com/blog/abortcontroller-javascript-guide
PageSpeed gives you four scores: Performance, Accessibility, Best Practices, and SEO. Each one is a 0-100 number with a color code, like a report card. Green (90-100) means good and you rock. Orange (50-89) means needs improvement and need to work on it. Red (0-49) means poor and you suck.
In this article we give insights into the different Google PageSpeed measurements and what matters most.
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PageSpeed is one of those things clients ask about without really understanding what they are asking 😄
We build mobile and web apps and honestly the most common client conversation is "why is our score not 100." Then you explain that third party scripts, images, fonts are all affecting it and they say "just fix it."
The part most people miss is what you mentioned about what to ignore. Perfect score on desktop means nothing if mobile score is 45 and 80% of your users are on phone.
Biggest real world impact we seen is LCP and CLS fixes. Those two alone make the biggest difference in how the site actually feels to users even if the number does not reach 100.
Good practical breakdown honestly.
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Google PageSpeed matters because it directly impacts user experience, search rankings, and conversion rates—faster, optimized sites keep visitors engaged and improve overall performance.
Focus mainly on the Performance score (Core Web Vitals), while treating Accessibility, Best Practices, and SEO as supportive improvements rather than strict ranking priorities.
How do you use AI to blur sensitive text in an image - with a little ImageMagick...
Manage your docs, test locally, and migrate from other providers — all from your terminal.
npm i -g jamdesk https://www.npmjs.com/package/jamdesk
Hey everyone,
Over the last few months we’ve been rethinking how we handle documentation across our projects.
We wanted something with the flexibility of Docusaurus (MDX, React components, full control), but without the overhead. Most setups felt like you either get power or simplicity—not both.
So we built Jamdesk.
One thing that kept bugging us wasn’t just styling or DX—it was how poorly most docs work with AI tools. These days we’re all using Cursor, Claude, or ChatGPT to understand APIs, but most documentation sites are basically unreadable to LLMs. The result: hallucinated answers, missing context, or outdated info.
Jamdesk was built with that in mind from day one.
A few things we cared about:
Native MDX
Write docs in MDX and drop React components straight in—no plugins or hacks.
Git-based workflow
It’s essentially git push → deploy. No custom pipelines, no CI glue code to maintain.
llms.txt support (AIO / AI Optimization)
Jamdesk automatically generates /llms.txt and /llms-full.txt, giving LLMs a clean, structured view of your docs. In practice, this means AI tools give far more accurate answers about your product.
Lightweight analytics
Basic traffic and page views built in, without adding heavy frontend scripts or third-party trackers.
There is a free 14-day trial.
If you’re a developer who’s tired of maintaining docs infrastructure (or fighting with AI tools that misunderstand your docs), I’d genuinely love to hear what you’re using today—and whether something like this would save you time.
1 Comment
Great tools! Docs workflows are so much cleaner when you have the right utilities.
Funny thing is we learned this while building Flidget too. Structured data changes everything when you're trying to make sense of why users churn. Raw feedback is messy but once it's organized you actually see the patterns.