Tutorials, stack comparisons, tool reviews, and productivity tips — code that ships.
A step-by-step optimization of a real Node.js Docker image, from a 1.2GB monster to a 78MB production container. Each technique is benchmarked, copy-paste ready, and explained with the trade-offs.
Adding "type": "module" to your package.json breaks imports, mocks, and dynamic requires in ways that are hard to predict. This guide walks through the practical migration path: incremental adoption, dual-package patterns, testing compatibility, and the traps that catch every team the first time.
GitHub Copilot, Cursor, Claude Code, Codeium, Tabnine. I integrated each into my daily workflow for a week each. Here is my honest take on what actually helps you ship.
A no-fluff guide to shipping a real CI/CD pipeline that lints, tests, builds, and deploys automatically, without the enterprise boilerplate.
Most devs reach for console.log when they should be using breakpoints, watch expressions, and conditional breakpoints. Here are the techniques that changed how I debug.
A practical comparison of the three major JavaScript runtimes: benchmark results, ecosystem maturity, and an honest recommendation for different use cases.
Most teams set CPU and memory requests by guessing. The result is over-provisioning that wastes money or under-provisioning that causes evictions. Here is the practical method for picking each number, the difference between requests and limits, and why CPU limits are often a mistake.
Most TypeScript users have heard of template literal types and don't use them. They are the feature that turns "string with a specific shape" into a checked type. Here are the four practical patterns (typed routes, prefixed keys, builder methods, validation) that show up in every real codebase.
The "logs, metrics, traces" framework gets repeated everywhere and obscures what observability is actually about: asking new questions of your system. Here is the alternative framing, high-cardinality events, and the practical setup that gets you the actual capability.
Most teams pick a JavaScript package manager based on what was popular when the project started. Five years later they're paying for that decision in install time and disk usage. Here is the honest comparison: pnpm's strict mode, yarn 4's feature parity, npm's recent improvements, and Bun's speed.