One of the quietest forms of kindness in engineering is leaving something understandable behind.
Not impressive. Not clever in a way that makes people stop and admire it.
Just understandable.
Most complexity doesn't arrive because someone was careless.
It arrives because someone was trying to be helpful. A function handles one more case. A pipeline gains one more mode. A script gets another branch because the deadline is close and the thing needs to work by tomorrow morning.
Each decision makes sense in the moment. The cost is paid later, by someone trying to understand why the system behaves the way it does. Sometimes that's a new engineer. Sometimes it's the person on call at midnight. Very often, it's you, six months later, with no memory of the context that made the decision feel obvious.
I once rebuilt a data pipeline that had grown into an 18,000 line Python script. It did everything: ingestion, transformation, validation, loading, error handling, retry logic. All of it in one place, woven together in a way that made it almost impossible to isolate what was happening at any given stage. When something went wrong, finding where was its own project.
The replacement was twenty scripts, each doing one job. Individually, each one was almost trivially simple. But you could read any of them in minutes, see exactly where a pipeline had failed, and fix one stage without touching the others. New engineers could contribute within days rather than weeks.
That's the thing about keeping work modular and contained. The engineer inside it feels the benefit every day. The manager sees it in how quickly the team can move, how safely new people can contribute, and how rarely one person becomes the dependency everything else quietly relies on.
Future you is a stakeholder.
Treat them like one.
The same logic applies to technology choices, where the costs run deeper.
Engineers are drawn to new technology. That curiosity is genuine, and it's part of what makes them good. But every technology choice is also a hiring decision, a training decision and an operational decision, even when nobody writes it down that way.
The more unusual the stack, the narrower the pool of people who can work in it. You either pay a premium to find specialists, train people from scratch, or quietly accept that your platform depends on a handful of engineers who can't easily be replaced.
None of those are fatal. But they are long-term commitments, often made at the moment someone got excited about something new.
The adoption is fast. The maintenance is forever.
Most choices are not judged in the first version, when the person who made them is still close to the work. They are judged in the second or third version, when the context has moved on and someone else has to build on top of them.
That is where boring technology earns its keep. Nobody gets stuck on a Friday afternoon because they can't find an answer. Nobody has to book time with the one person who understands the pipeline. The new joiner is productive sooner. The on-call rotation is less frightening.
None of that appears on the slide when someone is proposing a new tool. It only becomes visible once you've lived without it for long enough to feel the difference.
The question I keep coming back to is simple: will this still make sense to someone who wasn't here when it was built?
It's a question for the engineer writing the function and the manager approving the roadmap. Whether the answer is a piece of code or a technology decision, the instinct is the same: resist turning today's cleverness into tomorrow's maintenance burden.
Good engineering isn't about doing less. It's about caring enough to leave fewer traps behind.
And if you stay around long enough, the next person is usually you.