As AI continues to infiltrate every corner of the enterprise, the pressure is on platform engineering teams to figure out if and where, it belongs.
Many are now asking: can AI build Internal Developer Platforms (IDPs)? Can it operate them? Should it?
At first glance, the proposition is appealing. Automating repetitive tasks, accelerating code generation, simplifying decision-making. Who wouldn’t want that? But the reality is more complicated, especially when you move from AI demos to enterprise-scale use cases.
As someone who’s spent over a decade working with DevOps and platform teams and leading a company focused entirely on making platform engineering scalable and sustainable, I’d argue we need to be far more measured about the role AI plays in our platforms.
In short: AI is not the future of platform engineering. At least, not yet.
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