In the last post, I wrote about how the people winning with AI aren’t necessarily the best coders.
They’re the people who understand their domain deeply enough to build.
But there’s another shift happening underneath that.
Speed.
A few months ago, I watched two very different approaches to the same AI-driven idea.
One treated it like a traditional software project:
planning, reviews, alignment, architecture discussions, phased execution.
The other approach was simpler:
build fast, get it into people’s hands, refine as you go.
That contrast stayed with me.
Because AI is collapsing the distance between idea and execution.
A domain expert with clarity and the right tools can now prototype faster than many organizations can align internally.
And that changes things dramatically.
The advantage is no longer just technical skill.
It’s speed of understanding.
Speed of iteration.
Speed of decision-making.
Many organizations are still operating with waterfall thinking in a world where experimentation has become almost free.
AI rewards people who are hands-on.
People close to the actual business problem.
People willing to fail fast and refine in public.
Which raises an uncomfortable question:
If everyone starts building this quickly, what happens to stability, architecture, governance, and long-term maintainability?
That’s probably where the real conversation begins.
#Midnightmusings from the trenches of delivery.
Midnight Musings 