For a long time, I thought improvement in tech mainly meant better code.
Cleaner architecture.
Faster queries.
Lower latency.
Better models.
But recently, while working on process optimization in a real business environment, I realized something uncomfortable:
Most inefficiency doesn’t start in software.
It starts before software.
In workflows.
In approvals.
In unclear ownership.
In unnecessary steps.
In tools chosen without a real problem to solve.
I’ve seen processes where the real system wasn’t the application — it was a chain of spreadsheets, emails, manual reviews, and duplicated work.
And no matter how good the software was, it was being built on top of something already heavy.
That experience changed how I think about responsible and sustainable software.
We often ask:
Can we build it?
Can we automate it?
Can we scale it?
But much less often do we stop to ask:
Is this process worth scaling at all?
Because if a process is unclear or wasteful, software doesn’t fix it.
It only makes it run faster.
The more I work on optimization, the more I’m convinced that:
Responsible software starts before software.
It starts with understanding:
what real friction we’re removing
what human effort we’re saving
and what resources we’re about to commit
Sometimes the most responsible decision isn’t to build a smarter system.
It’s to build a lighter one.
Or even to remove steps instead of adding tools.
Optimization taught me that a big part of sustainability — technical and human — comes from not building what we don’t need.
And that’s a lesson I didn’t learn from code.
I learned it from processes.
I’d love to hear how others think about responsible and sustainable systems.
Don’t hesitate to reach out or share your perspective.
GitHub: github.com/fadydesoky
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