{"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\/es\/2023\/09\/18\/the-fallacy-of-replacing-software-engineers-with-ai\/","title":{"rendered":"La falacia de sustituir a los ingenieros de software por IA"},"content":{"rendered":"

La falacia de sustituir a los ingenieros de software por AI<\/a><\/strong><\/p>\n

Hoy en d\u00eda, los ingenieros de software se ven atormentados por el espectro de que la IA pueda usurpar sus puestos de trabajo. Los modelos de IA generativa como ChatGPT han generado una creciente preocupaci\u00f3n sobre el fin del desarrollo de software centrado en el ser humano. Sin embargo, es fundamental reconocer que esos temores est\u00e1n lejos de ser nuevos. A lo largo de los a\u00f1os, varias tecnolog\u00edas han pretendido "perturbar" la profesi\u00f3n de la codificaci\u00f3n, pero ninguna ha logrado reemplazar a los desarrolladores humanos. Por el contrario, a menudo han hecho que los ingenieros de software sean a\u00fan m\u00e1s indispensables.<\/p>\n

Los conceptos err\u00f3neos sobre la inform\u00e1tica temprana y el desarrollo de software<\/h2>\n

Es instructivo mirar hacia atr\u00e1s en la historia de la inform\u00e1tica para comprender por qu\u00e9 las preocupaciones sobre que la IA se haga cargo de los trabajos de codificaci\u00f3n pueden ser exageradas. Durante los primeros d\u00edas de la inform\u00e1tica, la arquitectura de sistemas y hardware se consideraba la c\u00faspide del esfuerzo intelectual en este campo. El software fue una idea de \u00faltimo momento, a menudo relegado a un nivel inferior de importancia.<\/p>\n

Los cient\u00edficos inform\u00e1ticos pioneros como John Backus consideraban que los programadores realizaban un trabajo de baja categor\u00eda. La din\u00e1mica de g\u00e9nero del per\u00edodo tambi\u00e9n influy\u00f3: muchos de los primeros programadores fueron mujeres, cuyas contribuciones fueron minimizadas debido al sexismo. A pesar de las actitudes despectivas, los programadores siguieron siendo indispensables. Asumieron el duro trabajo de codificar, depurar y probar, liberando a pioneros como Backus para centrarse en lo que consideraban asuntos m\u00e1s \u201csignificativos\u201d.<\/p>\n

\"\"<\/p>\n

<\/h2>\n

Intentos evolutivos para 'eliminar' a los ingenieros de software<\/h2>\n

Con el tiempo, las innovaciones tecnol\u00f3gicas apuntaron a simplificar el papel de los codificadores o incluso eludirlos por completo. FORTRAN fue dise\u00f1ado para permitir a los cient\u00edficos escribir programas sin programadores. La sintaxis en ingl\u00e9s f\u00e1cil de entender de COBOL ten\u00eda como objetivo capacitar a los administradores para codificar sin la ayuda de un desarrollador. El modelo de desarrollo Waterfall pretend\u00eda estandarizar los procesos de desarrollo de software, mientras que se supon\u00eda que la programaci\u00f3n orientada a objetos simplificar\u00eda la codificaci\u00f3n hasta el punto de que cualquiera pudiera hacerlo.<\/p>\n

Curiosamente, los ingenieros de software a menudo se resist\u00edan a estos cambios, por temor a que se volvieran obsoletos. Sin embargo, estos temores resultaron infundados. Tecnolog\u00edas como FORTRAN y COBOL agregaron nuevas capas de complejidad en lugar de simplificar las cosas. El modelo Waterfall provoc\u00f3 problemas burocr\u00e1ticos que obstaculizaron el desarrollo eficiente de software.<\/p>\n

La importancia duradera de los codificadores humanos: una crisis en la ingenier\u00eda de software<\/h2>\n

A pesar de las innovaciones destinadas a eliminar o reducir la necesidad de codificadores humanos, surgi\u00f3 una paradoja: el mundo todav\u00eda necesitaba m\u00e1s ingenieros de software. En una conferencia de 1968 patrocinada por la OTAN, se utiliz\u00f3 el t\u00e9rmino \u201ccrisis\u201d para describir la situaci\u00f3n en la ingenier\u00eda de software. Los proyectos se estaban estancando o retrasando, no debido a que hubiera demasiados ingenieros de software, sino a causa de muy pocos.<\/p>\n

ChatGPT y la realidad de la IA en el desarrollo de software<\/h2>\n

Hoy en d\u00eda, el discurso sobre ChatGPT que reemplaza a los ingenieros de software humanos parece carecer de perspectiva hist\u00f3rica. El uso de IA para reemplazar a los ingenieros en el desarrollo de funciones complejas probablemente tendr\u00eda resultados desastrosos, lo que har\u00eda inevitable la recontrataci\u00f3n de ingenieros humanos. En una nota m\u00e1s pr\u00e1ctica, los modelos de lenguaje grandes (LLM) como ChatGPT pueden automatizar tareas rutinarias, como proporcionar sugerencias de autocompletar u ordenar datos, pero estas tareas son solo una fracci\u00f3n de lo que implica el desarrollo de software.<\/p>\n

Mejorar, no reemplazar, la productividad humana<\/h2>\n

En lugar de robar puestos de trabajo, ChatGPT y tecnolog\u00edas similares podr\u00edan cambiar la naturaleza del trabajo de codificaci\u00f3n, eliminando algunas de las tareas m\u00e1s mundanas y permitiendo a los ingenieros centrarse en los verdaderos desaf\u00edos intelectuales. Este escenario refleja c\u00f3mo los compiladores eliminaron la necesidad de que los programadores trabajaran directamente con c\u00f3digo binario. \u00bfEl resultado? Los programadores se volvieron m\u00e1s valiosos, no menos, ya que pod\u00edan dedicar m\u00e1s tiempo a la resoluci\u00f3n de problemas complejos y al desarrollo de funciones.<\/p>\n

La paradoja de la complejidad: por qu\u00e9 la IA no reemplazar\u00e1 a los ingenieros de software<\/h2>\n

Edsger Dijkstra se\u00f1al\u00f3 una vez que a medida que las computadoras se han vuelto m\u00e1s complejas, la programaci\u00f3n ha pasado de ser un problema insignificante a convertirse en un desaf\u00edo importante. Los esfuerzos para hacer que la programaci\u00f3n sea tan simple que cualquiera pueda realizarla solo han resultado en agregar m\u00e1s capas de complejidad. Lejos de hacer obsoletos a los ingenieros de software, es probable que el auge de tecnolog\u00edas avanzadas como ChatGPT las haga a\u00fan m\u00e1s integrales en el proceso de desarrollo de software.<\/p>\n

Conclusi\u00f3n: la improbable extinci\u00f3n de los ingenieros de software<\/h2>\n

La idea de que la IA reemplazar\u00e1 por completo a los ingenieros de software humanos parece inveros\u00edmil cuando se la mira a trav\u00e9s de la lente de la historia. Una y otra vez, las innovaciones destinadas a dejar de lado a los codificadores s\u00f3lo han logrado hacerlos m\u00e1s indispensables. El potencial de los grandes modelos de lenguaje para ayudar en el desarrollo de software probablemente seguir\u00e1 el mismo camino, aumentando en lugar de reemplazar la capacidad humana. Por lo tanto, los ingenieros de software pueden respirar aliviados; sus habilidades siguen siendo tan valiosas como siempre en nuestro mundo digital cada vez m\u00e1s complejo.<\/p>","protected":false},"excerpt":{"rendered":"

La falacia de sustituir a los ingenieros de software por IA Los ingenieros de software de hoy en d\u00eda se ven atormentados por el espectro de que la IA pueda usurpar sus puestos de trabajo. Los modelos de IA generativa como ChatGPT han generado una creciente preocupaci\u00f3n sobre el fin del desarrollo de software centrado en el ser humano. Sin embargo, es fundamental reconocer que esos temores est\u00e1n lejos de ser nuevos. A lo largo de los a\u00f1os, varios [\u2026]<\/p>","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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