Desarrollo de un sistema web para la gestión de talento humano en la COAC Gañansol utilizando técnicas de Vibe coding

Abstract

This thesis addresses the lack of an integrated information system for human resources management at the Gañansol Savings and Credit Cooperative, where personnel information was managed using office software, physical records, and manual exports from the biometric system—resulting in data dispersion, errors, and delays in retrieving information. This study aimed to develop a web-based system for human resources management using Vibe Coding techniques and web development tools, with the aim of automating and optimizing personnel administrative processes. The research adopted a mixed-methods approach with a qualitative focus and a descriptive scope; information was obtained through working meetings with Human Resources and Information Technology staff and through a documentary analysis of institutional forms. The development was organized using the Scrum framework into six four-week sprints, utilizing Python, Django, MySQL, and generative AI tools such as ChatGPT, Gemini, and GitHub Copilot, with mandatory human review of the generated code. As a result, 23 functional requirements, 21 user stories, and 24 use cases were defined, and 21 functional test cases were executed, all with a “Pass” result. It is concluded that the system centralizes the processes of recruitment, onboarding, human resources, vacation, attendance, performance, and payroll on a single platform; integrates authentication with Active Directory; and constitutes a functional version ready for institutional adaptation and implementation. Keywords: human talent management, web system, Django, Scrum, Vibe Coding, Active Directory