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Cycloid on AI in platform engineering: acceleration, or technical debt on fast forward?

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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