{"id":3494,"date":"2023-09-18T09:32:58","date_gmt":"2023-09-18T09:32:58","guid":{"rendered":"https:\/\/isend.live\/?p=3494"},"modified":"2023-09-18T09:32:58","modified_gmt":"2023-09-18T09:32:58","slug":"the-fallacy-of-replacing-software-engineers-with-ai","status":"publish","type":"post","link":"https:\/\/isend.live\/pt\/2023\/09\/18\/the-fallacy-of-replacing-software-engineers-with-ai\/","title":{"rendered":"A fal\u00e1cia de substituir engenheiros de software por IA"},"content":{"rendered":"

A fal\u00e1cia de substituir engenheiros de software por IA<\/a><\/strong><\/p>\n

Os engenheiros de software hoje s\u00e3o assombrados pelo espectro da IA potencialmente usurpando seus empregos. Modelos generativos de IA como o ChatGPT levaram a preocupa\u00e7\u00f5es crescentes sobre o fim do desenvolvimento de software centrado no ser humano. No entanto, \u00e9 crucial reconhecer que tais receios est\u00e3o longe de ser novos. Ao longo dos anos, v\u00e1rias tecnologias alegaram \u201cperturbar\u201d a profiss\u00e3o de codifica\u00e7\u00e3o, mas todas falharam em substituir os desenvolvedores humanos. Pelo contr\u00e1rio, muitas vezes tornaram os engenheiros de software ainda mais indispens\u00e1veis.<\/p>\n

Os equ\u00edvocos da computa\u00e7\u00e3o inicial e do desenvolvimento de software<\/h2>\n

\u00c9 instrutivo olhar para tr\u00e1s, para a hist\u00f3ria da computa\u00e7\u00e3o, para entender por que as preocupa\u00e7\u00f5es com a IA assumindo os trabalhos de codifica\u00e7\u00e3o podem ser exageradas. Durante os primeiros dias da computa\u00e7\u00e3o, a arquitetura de hardware e sistemas era considerada o \u00e1pice do esfor\u00e7o intelectual na \u00e1rea. O software foi uma reflex\u00e3o tardia, muitas vezes relegado a um n\u00edvel inferior de import\u00e2ncia.<\/p>\n

Cientistas da computa\u00e7\u00e3o pioneiros, como John Backus, viam os programadores como fazendo um trabalho servil. A din\u00e2mica de g\u00e9nero do per\u00edodo tamb\u00e9m desempenhou um papel: muitos dos primeiros programadores eram mulheres, cujas contribui\u00e7\u00f5es foram subestimadas devido ao sexismo. Apesar das atitudes depreciativas, os programadores continuaram indispens\u00e1veis. Eles assumiram o trabalho pesado de codifica\u00e7\u00e3o, depura\u00e7\u00e3o e testes, liberando pioneiros como Backus para se concentrarem no que consideravam assuntos mais \u201csignificativos\u201d.<\/p>\n

\"\"<\/p>\n

<\/h2>\n

Tentativas evolucion\u00e1rias de 'eliminar' engenheiros de software<\/h2>\n

Com o tempo, as inova\u00e7\u00f5es tecnol\u00f3gicas visaram simplificar o papel dos codificadores ou at\u00e9 mesmo contorn\u00e1-los completamente. FORTRAN foi projetado para permitir que cientistas escrevessem programas sem programadores. A sintaxe em ingl\u00eas f\u00e1cil de entender do COBOL visava capacitar os gerentes para codificar sem a ajuda de um desenvolvedor. O modelo de desenvolvimento em cascata pretendia padronizar os processos de desenvolvimento de software, enquanto a programa\u00e7\u00e3o orientada a objetos deveria simplificar a codifica\u00e7\u00e3o ao ponto de qualquer pessoa poder faz\u00ea-la.<\/p>\n

Curiosamente, os engenheiros de software muitas vezes resistiram a essas mudan\u00e7as, temendo que elas se tornassem obsoletas. No entanto, estes receios revelaram-se infundados. Tecnologias como FORTRAN e COBOL acrescentaram novas camadas de complexidade em vez de simplificar as coisas. O modelo Waterfall gerou complica\u00e7\u00f5es burocr\u00e1ticas, dificultando o desenvolvimento eficiente de software.<\/p>\n

A import\u00e2ncia duradoura dos codificadores humanos: uma crise na engenharia de software<\/h2>\n

Apesar das inova\u00e7\u00f5es destinadas a eliminar ou reduzir a necessidade de codificadores humanos, surgiu um paradoxo: o mundo ainda precisava de mais engenheiros de software. Numa confer\u00eancia de 1968 patrocinada pela NATO, o termo \u201ccrise\u201d foi utilizado para descrever a situa\u00e7\u00e3o na engenharia de software. Os projetos estavam paralisados ou atrasados, n\u00e3o por causa de muitos engenheiros de software, mas por causa de poucos.<\/p>\n

ChatGPT e a realidade da IA no desenvolvimento de software<\/h2>\n

Hoje, o discurso sobre a substitui\u00e7\u00e3o do ChatGPT pelos engenheiros de software humanos parece carecer de perspectiva hist\u00f3rica. Usar a IA para substituir engenheiros no desenvolvimento de recursos complexos provavelmente resultaria em resultados desastrosos, tornando inevit\u00e1vel a recontrata\u00e7\u00e3o de engenheiros humanos. Em uma nota mais pr\u00e1tica, grandes modelos de linguagem (LLMs) como o ChatGPT podem automatizar tarefas rotineiras, como fornecer sugest\u00f5es de preenchimento autom\u00e1tico ou classificar dados, mas essas tarefas s\u00e3o apenas uma fra\u00e7\u00e3o do que envolve o desenvolvimento de software.<\/p>\n

Melhorar, n\u00e3o substituir, a produtividade humana<\/h2>\n

Em vez de roubar empregos, o ChatGPT e tecnologias semelhantes poderiam mudar a natureza do trabalho de codifica\u00e7\u00e3o, eliminando algumas das tarefas mais mundanas e permitindo que os engenheiros se concentrassem nos verdadeiros desafios intelectuais. Este cen\u00e1rio reflete como os compiladores eliminaram a necessidade dos programadores trabalharem diretamente com c\u00f3digo bin\u00e1rio. O resultado? Os programadores tornaram-se mais, e n\u00e3o menos, valiosos, pois podiam dedicar mais tempo \u00e0 resolu\u00e7\u00e3o de problemas complexos e ao desenvolvimento de recursos.<\/p>\n

O paradoxo da complexidade: por que a IA n\u00e3o substituir\u00e1 os engenheiros de software<\/h2>\n

Edsger Dijkstra observou certa vez que, \u00e0 medida que os computadores se tornaram mais complexos, a programa\u00e7\u00e3o deixou de ser um problema para se tornar um desafio significativo. Os esfor\u00e7os para tornar a programa\u00e7\u00e3o t\u00e3o simples que qualquer pessoa possa faz\u00ea-la resultaram apenas no acr\u00e9scimo de mais camadas de complexidade. Longe de tornar obsoletos os engenheiros de software, o surgimento de tecnologias avan\u00e7adas como o ChatGPT provavelmente os tornar\u00e1 ainda mais integrantes do processo de desenvolvimento de software.<\/p>\n

Conclus\u00e3o: a improv\u00e1vel extin\u00e7\u00e3o dos engenheiros de software<\/h2>\n

A no\u00e7\u00e3o de que a IA substituir\u00e1 inteiramente os engenheiros de software humanos parece implaus\u00edvel quando vista pelas lentes da hist\u00f3ria. Repetidamente, as inova\u00e7\u00f5es destinadas a marginalizar os codificadores apenas conseguiram torn\u00e1-los mais indispens\u00e1veis. O potencial dos grandes modelos de linguagem para auxiliar no desenvolvimento de software provavelmente seguir\u00e1 o mesmo caminho, aumentando em vez de substituir a capacidade humana. Portanto, os engenheiros de software podem respirar aliviados; as suas compet\u00eancias continuam t\u00e3o valiosas como sempre no nosso mundo digital cada vez mais complexo.<\/p>","protected":false},"excerpt":{"rendered":"

The Fallacy of Replacing Software Engineers with AI Software engineers today are haunted by the specter of AI potentially usurping their jobs. Generative AI models like ChatGPT have led to growing concerns about the end of human-centric software development. However, it’s crucial to recognize that such fears are far from new. Over the years, various […]<\/p>\n","protected":false},"author":2,"featured_media":3495,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"default","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","ast-disable-related-posts":"","theme-transparent-header-meta":"default","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"set","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"footnotes":""},"categories":[23],"tags":[207,208,209,206],"class_list":["post-3494","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-whatsapp","tag-ai","tag-computing","tag-software-development","tag-software-engineers"],"yoast_head":"\nThe Fallacy of Replacing Software Engineers with AI<\/title>\n<meta name=\"description\" content=\"The Fallacy of Replacing Software Engineers with AI. 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