I'm working on an AI Data Analyst in MLJAR Studio. The idea is simple: you ask a question in natural language, AI writes Python code, executes it, and shows the result. But recently I found a small example that reminded me why AI data analysis needs more than code generation. I was testing a medical data analysis use case with a diabetes CSV file. The first task was simple: load data from this URL
Technical Beauty — Episode 34 Open the sudo CHANGELOG and search for the word "security". Make a cup of tea first. The list is rather long for a tool whose entire job is to ask three questions: who are you, what would you like to run, and may you. In July 2015, Ted Unangst grew tired of negotiating with the sudo configuration on OpenBSD and wrote his own. He called it doas: dedicated OpenBSD appli
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
Lee Powell · Architect of Scrivener and Scapple · Lumen & Lever Most AI document pipelines fail before the model is ever called. Tables become paragraphs. Lists collapse into prose. Annotations are detached from context. Page references disappear. Source traceability is replaced by a confidence score. The structure that gave the document its meaning is gone before retrieval runs, and no retrieval
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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
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