Understanding Before Speed

Lately, I’ve been thinking about something I see more often in development teams.

Problem-solving has become incredibly fast thanks to AI.

But interest in why things were built a certain way seems to be fading.

Instead of understanding the context of existing code, the business background, or the history behind it, we often jump straight to rewriting everything with AI.

Legacy code frequently looks inefficient.

But inside that code are the real constraints and practical decisions that teams had to make at the time.

AI helps us implement.

What it doesn’t explain is how work evolved over time, or why systems ended up structured the way they are.

That knowledge lives in conversations between people.

Not in repositories.

Not in prompts.

And not in generated code.

Which makes me think:
the most important skill for developers today isn’t speed.

It’s understanding.

Not how fast or how much we build,
but how deeply we understand what already exists.

That may be one of the few roles humans still uniquely own.