Doria Neto, Adriao DuarteMadruga, João Victor Moura Monteiro2025-12-162025-12-162025-11-24MADRUGA, João Victor Moura Monteiro. Assistência na geração de documentação com base no processamento de linguagem natural e inteligência artificial. 2025. 27 f. Monografia (Graduação em Engenharia de Computação) – Departamento de Engenharia da Computação e Automação, Universidade Federal do Rio Grande do Norte, Natal, 2025.https://repositorio.ufrn.br/handle/123456789/67054Technical documentation plays a crucial role in software engineering, ensuring system maintainability and evolution; however, its manual production is often costly and neglected, resulting in technical debt. This work analyzes the application of Artificial Intelligence, with an emphasis on Natural Language Processing (NLP) and the Transformer (GPT) architecture, as an assistance tool for the generation and maintenance of technical documentation. The methodology is characterized as a literature review composed of articles and undergraduate theses, using search platforms such as Google Scholar and Portuguese- and English-language databases from Scielo, published between 2019 and 2025. The results indicate that the adoption of AI-based assistants promotes a reduction in the time required to produce documents, in addition to increasing standardization and quality management. It is concluded that the integration of generative models is viable and effective for mitigating documentation obsolescence, provided that human supervision (human-in-the-loop) is maintained to validate technical accuracy and mitigate AI hallucinations.pt-BRInteligência ArtificialDocumentação TécnicaProcessamento de Linguagem NaturalCIENCIAS EXATAS E DA TERRA::CIENCIA DA COMPUTACAO::METODOLOGIA E TECNICAS DA COMPUTACAO::ENGENHARIA DE SOFTWAREGPTbachelorThesisENGENHARIAS