As developers, we use online tools all the time — JSON formatters, CSS generators, minifiers, validators… But honestly, most of them feel like this: painfully slow After a while, it just gets frustrating. So instead of complaining, I decided to build my own. I didn’t want to create just another tool website. I focused on three simple things: Speed – everything should feel instant I started with a
Vendredi matin, 9 h 15. Françoise est dans son cockpit — trois écrans, à gauche l'Excel-pointeuse qu'elle tient à jour depuis quinze ans, à droite Sage, et au milieu Rembrandt depuis trois semaines. Sa tasse à la main, celle avec sa tête imprimée dessus que quelqu'un lui a offerte à Noël. Elle pivote sur sa chaise et me lance depuis son bureau : « Michel, combien on a d'inscrits pour la rentrée, d
« Hold on, we need to talk, this doesn't add up » Friday morning, 9:15 AM. Françoise is in her cockpit — three screens: on the left the Excel attendance sheet she's kept up to date for fifteen years, on the right Sage, and in the middle Rembrandt for three weeks now. Cup in hand, the one with her face printed on it that someone gave her at Christmas. She swivels in her chair and calls over from
So you've outgrown MySQL. Maybe you need better JSON support, real window functions, or you're moving to a managed cloud database that defaults to Postgres. Whatever the reason — MySQL to PostgreSQL migration trips up almost everyone the first time. The two dialects look similar but behave very differently under the hood. Why MySQL Dumps Don't Import Directly into PostgreSQL users ( id INT(11) NOT
If you've built more than one multi-step form in React, you’ve probably noticed a pattern… Every time you need: Step navigation (next / back / jump) Validation per step Shared state across steps Conditional flows …and every time, you end up rewriting the same logic again. It’s not hard — just repetitive, messy, and error-prone. Most approaches fall into two extremes: Too basic → you manage everyth
Skip the theory rabbit holes. This is the caching knowledge that shows up in system design interviews, code reviews, and the 2 AM production incidents nobody warned you about. Why Caching — The 30-Second Version Where Do You Actually Cache? Cache-Aside — The Pattern You'll Use 80% of the Time Write Strategies — The Other Side of the Coin Eviction Policies — LRU, LFU, and When It Matters TTL — Gett
Dependency Injection (DI): It’s Not Just About Clean Code—It’s About Saving Server Costs Many developers view Dependency Injection (DI) as a high-level architectural concept for making code look “pretty.” But from my perspective, the ultimate goal of any advanced technique is simple: Enable the server to handle heavier loads while keeping the overhead costs low. DI is a secret weapon for exactly t
Introduction Code reviews. For many developers, they are a necessary evil — a box to check in the development process. However, I have come to appreciate them as a powerful tool for elevating code quality, fostering collaboration, and improving team dynamics. Today, I want to share my journey from viewing code reviews as a mundane task to recognizing their critical role in successful projects. L