What Vibe-Coding Gets Right and What It Leaves Out
A deeper look at how enterprise IT can harness AI-assisted development without creating ungovernable chaos.
We’ve hit a strange moment in enterprise software delivery.
On one hand, AI-assisted coding is unlocking wild velocity. Tools like GitHub Copilot, Cursor, and GPT-powered agents are helping developers shortcut boilerplate, explore APIs, and ship faster.
But speed doesn’t equal scalability. Especially not in enterprise IT.
In my latest research note for DevOps.com, I unpack what I’m seeing in the field as platform teams try to operationalize "vibe-coding" in real systems:
Scaling Vibe-Coding in Enterprise IT – DevOps.com
The takeaway isn’t “slow down.” It’s “be more intentional.”
You still need:
– Clear architectural boundaries
– Real governance (not governance theater)
– Coordination across dev, ops, and product
– Strategic constraints around what gets automated vs. abstracted
And most importantly, you need someone in the org who can see across all those layers and say, “This is where it breaks down.”
Sometimes that’s the CTO.
Sometimes it’s a senior platform engineer.
Sometimes it’s nobody.
That’s when things go off the rails.
If you're thinking through this in your org—how to adopt AI tooling without recreating 2008-era shadow IT—I’d love to hear how you’re approaching it.
P.S. For folks navigating this kind of complexity day to day: I’ve quietly launched an offering for direct advisory access. It’s async-first, designed for practitioners, and execs.
If you’re curious, just reply here, and I’ll share the link.