ChatGPT for Coding: User Insights and Challenges in Program Generation

Abstract

This research delves into the impact of AI code generation tools, focusing on ChatGPT, programmers, and developers. Through interviews with 32 participants from diverse programming backgrounds, the study explores various aspects such as experience levels, language preferences, task complexities, completion speeds, prompt usage, output quality, ease of use, benefits, challenges, user scenarios, and feedback. The findings highlight a notable engagement with AI tools, particularly among those with several months of experience. Python emerges as the most used language alongside ChatGPT. While AI tools excel in more straightforward tasks and offer quick responses, challenges arise in complex coding scenarios where correctness may be compromised. Frequent prompts are favored for accuracy, yet output quality varies based on query clarity. Overall, AI tools are perceived as user-friendly, though complexities exist. Users appreciate their efficiency but caution against overreliance, especially for beginners. Recommendations include continuous enhancement for handling complex tasks. This study provides valuable insights for integrating AI tools into programming workflows responsibly.

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