Like many of you, I have thousands of photos spread across devices, cloud drives, and chat histories. Finding that one specific picture from "last summer's beach trip" meant endless scrolling. Folders and filenames don't help when you can't remember when or where you saved something.Morse Code Translator So I built a tool to fix my own problem. It turned into a real product. Upload your photos, an
Everyone is talking about AI replacing developers. I wanted to test that claim with a real project — not a tutorial, not a todo app, but a production-grade full-stack application with real business requirements. The result is Craftura Fine Furniture: a complete furniture manufacturing website with B2B and B2C ordering, an admin panel, analytics dashboard, CMS, SEO, dark/light mode, email notificat
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: "
Data is no longer treated as a byproduct of business operations and has become one of the most valuable organizational assets. Every interaction on a banking application, e-commerce platform, hospital system, logistics network or social media service generates data continuously. As organizations increasingly adopt digital workflows, cloud platforms, machine learning systems and real-time applicati
In modern data-driven organizations, managing and analyzing data efficiently is critical. OLAP (Online Analytical Processing) and OLTP (Online Transaction Processing) are both integral parts of data management, but they have different functionalities. Understanding how they differ, and how they complement each other is essential for anyone working with data systems. Online Transaction Processing (
The "Unsharable" Dashboard Problem Imagine this common B2B SaaS scenario: An executive opens your analytics dashboard. They spend three minutes configuring the data—they filter the status to "Active," set the date range to "Last 30 Days," sort the table by "Highest Revenue," and navigate to Page 4. They copy the URL and Slack it to their team lead. The team lead clicks the link, but instead of see
The setup I was building an AI article generator. Four phases: Research — pull live SERP data, extract entities, score competitors Brief — Claude Sonnet writes a structured brief from the SERP Draft — section-by-section drafting in a fixed persona voice Polish — adversarial review pass that flags AI tells End-to-end: 6–8 minutes. Each phase: 60–180 seconds. Multiple LLM calls per phase. Token st