How I Built This Entire Website with AI in One Day

A behind-the-scenes look at building AI Tutorials from scratch using Claude Code. From initial concept to deployed site in a single session.

AI Tutorials · · 3 min read

The Challenge

Build a complete, production-quality content website from scratch. Not a template. Not a toy. A real site with multiple content types, a custom design system, responsive layouts, SEO, and deployment — all in one day.

The Stack

  • Astro 5 — Static site generator with MDX support
  • Tailwind CSS v4 — Utility-first styling
  • GitHub Pages — Free hosting with automatic deployment
  • Claude Code — AI coding agent that did the heavy lifting (see our Getting Started with Claude guide if you’re curious about the platform)

The Process

Hour 1: Planning

Started by describing the vision to Claude Code: an AI learning platform with tutorials, news, blog posts, and resources. The agent researched modern web stacks and proposed the architecture.

Hours 2-4: Foundation

The agent scaffolded the entire project:

  • Set up Astro with TypeScript, MDX, and Tailwind
  • Created 5 content collections with Zod schemas
  • Built the design system (color tokens, typography, card styles)
  • Created all layout components (base, content, product)

Hours 5-7: Components and Pages

Built all the UI components and pages:

  • Header with responsive mobile menu
  • Footer with newsletter CTA
  • Post cards, badges, buttons, callouts
  • Homepage, listing pages, about, newsletter, 404
  • RSS feed, sitemap, SEO meta tags

Hours 8-10: Content and Polish

Created seed content for all collections, refined the design based on preview feedback, and set up the GitHub Actions deployment pipeline.

What Worked

Clear communication — The more specific my instructions, the better the output. This aligns with everything we cover in Prompt Engineering Fundamentals.

Iterative refinement — The first draft of the design wasn’t great. Saying “this looks generic” and giving specific direction led to something much better.

Letting the agent work — Instead of micromanaging every file, I gave high-level instructions and reviewed the results. Much faster than dictating every line.

What I’d Do Differently

Start with design inspiration — I should have shared reference sites upfront instead of trying to describe the aesthetic in words.

Write more content first — Having real content would have made design decisions easier. Designing around placeholder text always leads to rework.

Test on mobile earlier — I waited too long to check responsive layouts and had to fix several issues.

The Result

A fully functional, beautifully designed website with:

  • 27+ pages generated from content collections
  • Custom editorial design with Instrument Serif typography
  • Responsive layouts that work on all screen sizes
  • SEO optimized with Open Graph and Twitter cards
  • Automatic deployment via GitHub Actions
  • RSS feed and sitemap

All from a single conversation with an AI coding agent.

Takeaway

AI doesn’t replace the need for good taste and clear thinking. But it eliminates the tedious parts of building software — the boilerplate, the configuration, the repetitive styling work. This lets you focus on the creative decisions that actually matter.

Want to keep learning?

Explore our guided learning paths or try building something with AI right now.

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