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A master's thesis from Aalborg University
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The Role of Generative AI in the Modern DevOps Pipeline

Author

Term

4. term

Education

Innovative Communication Technologies and Entrepreneurship, Master

Publication year

2024

Submitted on

Pages

82

Abstract

The advent of Large Language Models has revolutionized software development, significantly enhancing the efficiency of DevOps processes. Coding practices, in particular, have greatly benefited from the integration of Generative AI, which now assists developers directly within their coding environments, reducing the complexity and duration of repetitive tasks. This thesis explores further optimization of software development by focusing on the coding stage. It investigates how combining generative AI with prompt engineering can enhance this process. While initial experiments show significant potential, certain delimitations prompted a Conceptual Design approach, leading to necessary changes for truly optimizing code generation.

Keywords

Artificial Intelligence ; Large Language Model ; Natural Language Processing ; Machine Learning ; DevOps ; Generative AI ; Retrieval-augmented Generation ; Cloud ; Code Generation

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