AI 中文总结
该研究从新手角度探讨生成式人工智能对初级软件开发人员职业生涯早期的影响，通过访谈分析得出围绕“验证条件使用”的16个主题，指出决定使用AI或人工的关键标准，揭示新手自我认知紧张关系及形成性悖论，还给出使AI使用可持续的个人实践要点。
AI 中文摘要
目的：从新手自身角度研究生成式人工智能工具的使用如何影响软件开发职业生涯早期阶段。方法：通过视频会议对13名实习生和初级开发者进行单独访谈，采用布劳恩和克拉克主题分析的六个阶段、归纳编码和语义方法分析访谈内容。结果：围绕核心概念“验证条件使用”出现了16个主题。在四个研究问题（使用模式、学习、自主性和市场进入）中，决定使用人工智能还是人工工作的最常见标准是检查结果的能力。两个主题揭示了新手自我认知中的紧张关系：自主性悖论和第一人称对依赖的否认。这些发现共同指向理论贡献——形成性悖论：人工智能导致的浅层学习使建立市场已开始要求的关键判断能力变得更加困难。结论：从参与者自身角度来看，使人工智能使用可持续的不是工具本身，而是接受前审查、不理解时拒绝使用、要求工具解释以及在人工智能辅助工作之外进行刻意练习的个人实践。
英文摘要
Objective: to investigate how the use of generative Artificial Intelligence (AI) tools affects the early stages of a career in software development, from the perspective of the newcomers themselves. Method: thirteen interns and junior developers were interviewed individually, by videoconference. Interviews were analyzed using the six phases of Braun and Clarke's thematic analysis, with inductive coding and a semantic approach. Results: sixteen themes emerged, organized around a central concept: verification-conditioned use. Across the study's four research questions (usage patterns, learning, autonomy, and market entry), the criterion that most often decides between AI and manual work is not deadline or task complexity, but the ability to check the result. Two themes expose tensions in newcomers' self-perception: the autonomy paradox (feeling more capable yet less in ownership of the result) and the first-person denial of dependence. Together, these findings point to a theoretical contribution, the formative paradox: the shallow learning that AI induces makes it harder to build the very critical-judgment competence that, according to participants, the market has begun to demand. Conclusion: what makes AI use sustainable, from participants' own point of view, is not the tool itself but the individual practice of reviewing before accepting, refusing to use AI without understanding it, asking the tool for explanations, and keeping deliberate practice outside of AI-assisted work.
