Author(s)
Term
4. term
Publication year
2024
Submitted on
2024-09-05
Pages
82 pages
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
Documents
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