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This study investigates the impact of ChatGPT -- a generative AI-based tool-- on undergraduate students' software development experiences. Through athree-month project involving seven undergraduate students, ChatGPT wasemployed as a supporting tool, and their experiences were systematicallysurveyed before and after the projects. The research aims to answer four keyquestions related to ChatGPT's effectiveness, advantages, limitations, impacton learning, and challenges faced. The findings revealed significant skill gapsamong undergraduate students, underscoring the importance of addressingeducational deficiencies in software development. ChatGPT was found to have apositive influence on various phases of the software development life cycle,leading to enhanced efficiency, accuracy, and collaboration. ChatGPT alsoconsistently improved participants' foundational understanding and soft skillsin software development. These findings underscore the significance ofintegrating AI tools like ChatGPT into undergraduate students education,particularly to bridge skill gaps and enhance productivity. However, a nuancedapproach to technology reliance is essential, acknowledging the variability inopinions and the need for customization. Future research should explorestrategies to optimize ChatGPT's application across development contexts,ensuring it maximizes learning while addressing specific challenges.

Using ChatGPT throughout the Software Development Life Cycle by Novice Developers