Best Practice

“Best practice” is a useful shorthand for accumulated wisdom — the approaches that have worked reliably across enough contexts that they’ve earned a name. Writing tests. Reviewing code before merging. Keeping functions small and focused. These aren’t arbitrary rules; they’re the distillation of many teams learning the same hard lessons independently.

The term gets abused, though. It’s often used to shut down thinking rather than encourage it: “that’s the best practice” as a way of avoiding the question of whether it’s the right practice here. Every best practice carries implicit assumptions about context, team size, system complexity, and risk tolerance. The ones that apply everywhere are few.

The useful question isn’t “is this a best practice?” but “why did this become a best practice, and do those reasons apply to my situation?” Posts here try to do that work — examining recommended approaches with enough depth to know when to follow them and when to deviate deliberately.