AI-Enhanced Platform Engineering: Revolutionizing CI/CD Pipelines Through Intelligent Automation

Abstract

The article describes how artificial intelligence has changed the field of platform engineering in the context of continuous integration and continuous delivery (CI/CD) pipelines. Intelligent, self-healing systems with the ability to optimise themselves autonomously are the next paradigm shift in the integration of AI capabilities that changes the process of manual management to a more intelligent and self-aware system. It is an investigation of how machine learning algorithms can be used to improve test selection, provide high-level monitoring of pipelines, and allow autonomous failure remediation. The article reveals key concerns to be considered by organisations that are exploring AI-enhanced platform engineering, such as data quality requirements, model selection approaches, and incorporating existing toolchains. It also explores new trends that are set to transform software delivery ecosystems, such as generative AI to define the infrastructure, federated learning with engineering teams, and end-to-end optimization at the entire software delivery lifecycle. Through a combination of the results of various studies, this article will give a general overview of how AI is transforming the field of platform engineering and give a basis for what is to be expected in the evolution of intelligent automation to achieve software delivery.