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.
How I Built This Entire Website with AI in One Day
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.
Related Articles
- 7 AI Tools Every Developer Should Be Using in 2026 — The full toolkit beyond Claude Code
- Honest Review: Cursor vs Claude Code — How the two leading AI coding tools compare
- Automate Your Workflows with AI — Take the next step and build automated pipelines
Want to keep learning?
Explore our guided learning paths or try building something with AI right now.
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