INTELIGÊNCIA ARTIFICIAL GENERATIVA NA TRANSFORMAÇÃO DOS PROCESSOS DE DESENVOLVIMENTO DE SOFTWARE: OPORTUNIDADES, DESAFIOS E IMPACTOS NA PRODUTIVIDADE
DOI:
https://doi.org/10.63330/armv1n5-016Palavras-chave:
Inteligência Artificial Generativa, Desenvolvimento de Software, Produtividade, Automação de Código, Transformação DigitalResumo
A inteligência artificial generativa tem emergido como uma tecnologia disruptiva no campo do desenvolvimento de software, revolucionando práticas tradicionais de programação e oferecendo novas possibilidades para aumentar a produtividade dos desenvolvedores. Este artigo investiga o impacto das ferramentas de IA generativa, como GitHub Copilot, ChatGPT e CodeT5, nos processos de desenvolvimento de software, analisando suas contribuições para a automação da geração de código, documentação e testes. Através de uma revisão sistemática da literatura e análise de casos práticos, o estudo examina as oportunidades de otimização dos fluxos de trabalho, os desafios técnicos e éticos associados à adoção dessas tecnologias, e seus efeitos na qualidade do software produzido. Os resultados indicam que, embora a IA generativa demonstre potencial significativo para aumentar a produtividade dos desenvolvedores em até 55% em tarefas específicas, sua implementação apresenta desafios relacionados à dependência tecnológica, questões de propriedade intelectual e a necessidade de manutenção das competências técnicas fundamentais. O estudo conclui que a integração eficaz da IA generativa no desenvolvimento de software requer uma abordagem equilibrada que maximize os benefícios tecnológicos enquanto preserva as habilidades essenciais dos profissionais e garante a qualidade e segurança do código produzido.
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