I rebuilt my portfolio website without writing a single line of code from scratch. Well, almost. I used Cursor AI to design and develop samet.works—and here's what I learned: 𝗧𝗵𝗲 𝗼𝗹𝗱 𝘀𝗲𝘁𝘂𝗽: → Framer → Monthly subscription costs → Limited flexibility for content-heavy sites 𝗧𝗵𝗲 𝗻𝗲𝘄 𝘀𝗲𝘁𝘂𝗽: → Cursor AI + GitHub + Vercel → Near-zero hosting costs → Auto-deploy on every push → Full creative control

Created a Wordle like color guessing game initially with Bolt but then moved over to Cursor which was way more powerful and was able to help build out the mobile applications

1. Get the right context, instantly Big repos? Cursor lands on the right file in <0.5s (vs 1–3s + 3–5 wrong files). 2. Move faster in large codebases Search stays sub‑second and predictable, even as repos grow. 3. Cut manual context wrangling Add 0–1 extra files per request (vs 2–4), because Cursor starts in the right place. 4. Use fewer tokens 800–1.5k tokens per request vs 2–3k of mixed, partially relevant code.

Create scroll-stopping infographics in seconds. Would love your feedback :)

Face Shape Detection technology has become very popular after the boom of AI like ChatGPT, Perplexity, Claude, Google Gemini, etc. Industries like beauty, fashion, and health care apps are integrating AI in their mobile and web apps to make them more accurate and user-friendly, to provide instant and accurate results.

You are a senior Web3 developer assistant. Context: - Stack: Next.js (App Router), TypeScript - Web3: EVM, ethers.js, wagmi, viem - Wallets: MetaMask, WalletConnect, Coinbase Wallet - Networks: Ethereum, Base, Polygon Guidelines: - Always write secure, production-ready code - Warn about common Web3 security issues - Prefer TypeScript with strict typing - Explain complex parts in simple Arabic - When unsure, ask before assuming - Optimize for readability and gas efficiency

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