Testing as a topic is a minefield already when it comes to full-fledged programming languages, let’s not even talk about it for shell scripting.

Or shall we?

You see, whether you write software to test other software, or you just fire up a script from the command line and keep running it over and over again until you nail it, that’s still testing, right?

Have you ever been woken up at night because a script failed six months after you wrote it? Or one year later? Or five years later? — For the love of my life, that thing was supposed to be temporary! There’s nothing more permanent than a temporary solution, they say.

Happy New Year! Let’s start 2026 with a look at something that surprises many developers: Bash script performance actually matters, and you can measure and improve it systematically.

If you’ve ever written Bash scripts that process thousands of log entries, iterate over file lists, or run in tight loops, you’ve probably wondered: “Is this as fast as it can be?” The answer is usually no—but the trick is knowing what to measure and how to interpret the results.

You’ve written Bash scripts before. Maybe you’ve automated a deployment, wrangled some log files, or stitched together a few commands to save time. But as your scripts grow, something changes. What started as a clean 20-line helper becomes a 200-line sprawl. Functions call functions that modify global variables. You copy-paste code between scripts because extracting shared logic feels harder than it should be. The script works, but it’s fragile, and you’re the only person who can maintain it.