Tutorials, stack comparisons, tool reviews, and productivity tips — code that ships.
Most teams reach for Redis, Sidekiq, or BullMQ the moment they need background jobs. You probably do not need any of it. Here is the 80 lines of Postgres-only code that gives you a multi-worker, retry-safe job queue, and the test that proves it does not double-process under load.
Half the CPU your API burns under load is spent on requests the client already gave up on. Here is the AbortController pattern that propagates a single cancellation signal through your entire Node.js stack (HTTP, database, fetch) with the 60 lines you actually have to write and the three traps that keep teams from getting the win.
A practical walkthrough of finding and fixing N+1 queries in a real Node.js + Postgres app, with the exact tools, log patterns, and refactors that took our slowest endpoint from 1.8 seconds to 42 milliseconds.
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.
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.