AI moves fast. Someone still has to own what ships.
Why senior judgment matters more now, not less.
Most of the code I see fail in production now was written quickly, by someone who trusted the tool more than they understood the problem.
AI makes it easy to produce a lot of plausible code. Plausible is the dangerous part. It compiles, it demos, it passes the happy path. Then a real patient record hits it, or an edge case nobody thought to prompt for, and the distance between "looks right" and "is right" becomes your outage.
I'm not against AI. We use it every day and it genuinely speeds us up. We've built AI products ourselves: clinical protocols that generate the right questions for a patient based on their conditions, and voice agents that talk to people over the phone. But that speed works for anyone. A senior engineer with good tools ships faster and cleaner. A junior with the same tools ships more of what they don't yet know is wrong.
What the tooling won't give you is judgment: what not to build, where the system buckles under load, which shortcut becomes next year's rewrite. That call is still human, and it's still the expensive one to get wrong.
When we rebuilt a healthtech platform an offshore team had left broken, the issue was never that they couldn't produce code. They produced plenty. The issue was that none of it held — billing that didn't reconcile, workflows that didn't match how clinicians actually work, a backend that would never have passed a HIPAA audit. We shipped the real thing in nine months because senior people made hundreds of small, correct decisions the tooling can't make for you.
So when a team tells me they move fast with AI now, I believe them. The question I ask back is simple: who's accountable when it ships? Fast is easy now. Right is the part that still takes a senior engineer.
If you've got a build that has to hold up, that's the work we do.
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