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With regard to the former – AI tools that make our lives easier – we only have to look at the proliferation of cloud infrastructure models over the past decade to see why AI has been necessary.
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On the other, AI tools offer a range of automated code development and deployment techniques that have more fundamentally transformed the way that software is made.On the one hand, the use of AI tools is “merely” a way for over-stretched developers to stay on top of the increasingly complex systems they work with.This promise can essentially be broken into two parts:
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The Promise of Automationįirst, and in order to understand why AI tools have been so rapidly adopted by DevOps teams, it’s useful to understand what they promise they can achieve. We’ll look at what AI promises to do for the development process, assess whether it can really ever take over from human developers, and then look at what DevOps is likely to look like in a decades’ time.
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In this vision, AI tools are slowly replacing the role of the developer – just as DevOps did before – and will eventually supplant DevOps entirely.Īssessing whether that prediction is true is tricky, but in this article we will try nonetheless. Book a demo today!Īmong the most recent of these is AIOps. Get total control of your code to ship fast, reduce risk, and reclaim your nights and weekends.