If this is useful, a ❤️ helps others find it. I run both in production. Here's the real comparison — not theoretical, from actual use building developer tools. Local LLM (Ollama) Gemini API (Free) Cost $0 forever $0 (free tier) Privacy 100% local Data sent to Google Setup Install Ollama + pull model Get API key (2 min) Quality Good (7B), Great (70B) Excellent Speed Fast if model lo
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We're all learning how to ship more side projects. If you're "in the bubble" it can feel like everyone is repo-maxxing. Shipping weekly. Spinning up agents to scaffold full apps overnight. New OSS dropped every Friday. The reality I see with most developers is much more normal: They have six or seven repos sitting in various states of half-attention. A side project from last year that still gets a
I have a confession: I used react-i18next for years and genuinely never questioned it. It worked. It was everywhere. Every project I joined during my internships at DNB had it set up. You install it, you configure it, you wrap your app in a provider, and you ship. Done. But then I started building more things on my own, projects where I got to choose the stack from scratch, and I started noticing
Exemplo mínimo de uso com Bun (baseado na documentação oficial) Aviso: Este exemplo é puramente acadêmico, baseado na documentação oficial do Next.js. Para um ambiente de produção real, ajustes adicionais de segurança, performance e monitoramento são necessários. 1 - Ajustar o next.config.ts para "Standalone": import type { NextConfig } from "next"; const nextConfig: NextConfig = { output: "
We Rewrote Our Angular 18 App in React 20 and Increased Developer Velocity by 40% Last quarter, our engineering team made the bold call to rewrite our 3-year-old Angular 18 production application in React 20. After 6 months of development, we cut over to the new stack with zero downtime, and the results have exceeded our expectations: we’ve measured a 40% increase in developer velocity, alongsid
Building a Full-Stack Habit Tracker with Claude Code - Part 2: Polish, Testing & Deployment Taking the habit tracker from MVP to production-ready with categories, analytics, comprehensive testing, and Vercel deployment In [Part 1], we built a fully functional habit tracker MVP in about 6-8 hours using Claude Code as our AI pair programmer. We had: ✅ Basic CRUD operations for habits ✅ Date-based