Huntay AzerTürk

Huntay AzerTürk - Fractional CTO & Principal Architect

A modern, bilingual (English & Turkish) personal landing page and CV portfolio built with Next.js 16 (App Router) and Tailwind CSS 4.

Features

• Bilingual (i18n): Full English and Turkish support using next-intl.
• Theming: Dark ("Bare Metal") and Light ("Corporate") modes using next-themes.
• Responsive Design: Fully optimized for mobile, tablet, and desktop viewing.
• Performance: Statically generated pages (SSG) with optimized fonts and layouts.
• SEO & AEO Ready: Metadata with canonical + hreflang (incl. x-default), per-locale Open Graph images (app/[locale]/opengraph-image.tsx), sitemap with language alternates, robots.txt (AI crawlers explicitly allowed), /llms.txt, a visible FAQ section, and a Person + WebSite + ProfilePage + FAQPage JSON-LD graph — all generated from the same data/* sources. Update siteConfig.contentUpdatedAt in lib/site.ts whenever content changes.
• Services & Booking: /services hub, one page per service (/services/<slug>) and a /book page, all driven by data/services.ts. /book embeds the Cal.com calendar cal.com/huntay/intro-call (30 min, Google Meet, Mon–Fri 10:00–18:00 Istanbul) set by calUsername / calEventSlug in lib/site.ts; with an empty username it falls back to bookingEmbedUrl / bookingUrl or WhatsApp and email requests. Search Console / Bing verification codes go in googleSiteVerification / bingSiteVerification.
• AI assistants (MCP): app/mcp/route.ts serves a remote MCP server at https://huntayazerturk.com/mcp (Streamable HTTP, stateless, no auth), documented at /assistant. Tools: get_availability, book_intro_call (live via the public Cal.com API, no API key), list_services (optionally ranked by a described need), get_service, get_profile, and search / fetch over the site content (ChatGPT deep-research compatible). MCP Apps clients render an in-chat card (lib/mcp/widget.ts). Tool descriptions are intentionally neutral and Huntay-specific so the server meets the Claude and ChatGPT directory policies. It is listed in the official MCP Registry as com.huntayazerturk/assistant (server.json; domain verified via /.well-known/mcp-registry-auth).
• Agent readiness: /llms.txt, /llms-full.txt, Markdown versions of pages for Accept: text/markdown (middleware), robots.txt with Content Signals, and /.well-known/ discovery files: MCP server card, API catalog (RFC 9727), agent skills index, MCP Registry and ChatGPT domain verification.
• CV Download: Direct download link for the latest PDF CV with correct Content-Disposition headers.

Tech Stack

• Framework: Next.js 16 (App Router)
• Styling: Tailwind CSS 4
• Icons: Lucide React
• Internationalization: next-intl
• Theming: next-themes
• Fonts: Geist & Geist Mono

Development

# Install dependencies
npm install

# Run the development server
npm run dev

Open http://localhost:3000 with your browser to see the result.

Deployment

The project is configured for a standalone output, making it easy to deploy via Docker or directly to Vercel.

# Build for production
npm run build

# Start production server
npm start