“This is a temporary fix. I’ll come back for it later” – Famous last words that every developer has uttered at least once.
We’ve all been there. You’re staring down a deadline, your PM is breathing down your neck, and you need to ship something that works. So you write a quick hack, slap a // TODO: refactor this ugly mess comment on top, and move on with your life.
Concurrency is one of Go’s greatest strengths, but managing goroutines effectively at scale can be challenging. When you have millions of tasks to process, spawning a goroutine for each one can quickly overwhelm your system with excessive memory usage and context switching overhead. This is where worker pools come to the rescue.
A few years ago, I created bigopool, a lightweight Go library that implements high-performance worker pools with elegant error and result handling. Today, I have finally decided to write about it.