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Why Jupyter Notebooks Are Killing the Traditional Python Script

dev.toFeb 13, 2026

You’ve spent years mastering Python. You know object-oriented design, memory management, and concurrent execution. You write clean, efficient .py scripts that run from start to finish. But when you transition into Data Science, something feels off. The workfl…

How Lemontree improved map performance with a small refactor

dev.toFeb 13, 2026

A Q&A with Samuel Cole, CTO of Lemontree Lemontree is a New York-based nonprofit on a mission to fight food insecurity by connecting hungry Americans to free food resources near them. Often described as a "Yelp for food banks," they curate and manage rich…

Building a Polyglot Persistence Layer: When One Database Isn't Enough

dev.toFeb 13, 2026

You've optimized your PostgreSQL queries to death, but your analytics dashboard still crawls under load. Meanwhile, your document-heavy user profiles are forcing you into EAV anti-patterns, and your cache invalidation strategy has grown so Byzantine that onbo…

Securing a Remote Linux Host with firewalld and OpenVPN

dev.toFeb 13, 2026

For my experiments I'm renting a remote Linux server. As soon as it was online, it became clear that the first real problem wasn't installing software, but reducing how much of the server was exposed to the internet by default. Services like SSH are continuou…

What else do you want to know about Gemini CLI?

dev.toFeb 13, 2026

Earlier this week, @greggyb and @stephr_wong kicked off Google Cloud Live, a no fluff weekly livestream series designed around hands-on building, vibe coding, and live debugging. For their next episode, Jack Wotherspoon and Greg are taking things further with…

Image Classification with CNNs – Part 4: Dealing with Variations in Input

dev.toFeb 13, 2026

In the previous article, we have processed the input through the neural network and predicted the O shape correctly. Now lets do the same for the X shape. If we repeat the same process of creating the feature map and then applying max pooling, we will obtain …

Implementing a JSON Schema Validator from Scratch - Week 4

dev.toFeb 13, 2026

This week was... challenging, but in a good way. I didn't really implement any keywords (unless you count the makeshift type implementation from last week), but I did build the majority of the foundation for this project, and even though some parts took way m…

I Built an Experimental Async OSINT Tool in Python (VoidScan)

dev.toFeb 13, 2026

I’ve been studying OSINT techniques and asynchronous programming in Python, so I decided to build a small experimental CLI tool called VoidScan. The goal was not to compete with established tools, but to understand async I/O, HTTP requests at scale, and CLI a…

Talk to the Grid: Control Energy Infrastructure with Claude + MCP

dev.toFeb 13, 2026

The energy grid is the largest machine humanity has ever built — and it has no API. Until now. EnergyAtIt exposes 30+ tools that let Claude dispatch batteries, verify carbon attestations, read meters across 8 industrial protocols, and create demand response e…

Introducing Depmender - The Ultimate Dependency Management CLI for JavaScript/TypeScript Projects

dev.toFeb 13, 2026

🎯 What is Depmender? Depmender is a powerful command-line tool that helps you maintain healthy dependencies in your JavaScript/TypeScript projects. It goes beyond simple npm audit by providing: 🔍 Comprehensive Scanning - Detects 6 types of dependency issues 🔧…

cfix: Architecting a seamless diagnostic bridge between Linux runtime errors and GitHub Copilot’s LLM-powered intelligence

dev.toFeb 13, 2026

This is a submission for the GitHub Copilot CLI Challenge What I Built I have engineered cfix, a sophisticated, high-performance command-line interface (CLI) wrapper specifically designed for the Linux ecosystem, with a primary focus on the Ubuntu distributio…

Inside Image Models: The Hidden Trade-offs That Shape Every Pixel

dev.toFeb 13, 2026

As a principal systems engineer, the aim here is to deconstruct image models past the marketing blur and reveal the systems thinking that actually matters. This is not a how-to primer. It's a peel-back: the internals, the metric trade-offs, the predictable fa…