在 台灣科技大學 與 40 位業界 EMBA 學長姐 分享 「LLM(大型語言模型)對軟體工程的影響」。內容涵蓋 LLM 在軟體開發各階段(需求分析、設計、開發、測試、部署、維運)中的應用,並探討 AI 如何提升開發效率、自動化程式碼生成、最佳化 DevOps 流程,以及重塑工程師的角色。透過產業案例與未來趨勢分析,幫助學長姐了解 AI 驅動的軟體開發模式,並思考如何將 LLM 技術導入企業以提升競爭力。
At National Taiwan University of Science and Technology, I shared insights with 40 EMBA executives from various industries on "The Impact of LLM (Large Language Models) on Software Engineering." The discussion covered how LLMs influence different stages of software development (requirements analysis, design, coding, testing, deployment, and maintenance) and explored how AI enhances development efficiency, automates code generation, optimizes DevOps processes, and reshapes the role of software engineers. Through industry case studies and future trend analysis, participants gained a deeper understanding of AI-driven software development and how to leverage LLM technology to drive business innovation and competitiveness.