Nowadays, integration of AI-driven tools within Integrated Development Environments (IDEs) is reshaping the software development lifecycle. Existing research highlights that users expect these tools to be efficient, context-aware, accurate, user-friendly, customizable, and secure. However, a major gap remains in understanding developers' needs and challenges, particularly when interacting with AI systems in IDEs and from the perspectives of different user groups. In this work, we address this gap through structured interviews with 35 developers from three different groups: Adopters, Churners, and Non-Users of AI in IDEs to create a comprehensive Design Space of in-IDE Human-AI Experience. Our results highlight key areas of Technology Improvement, Interaction, and Alignment in in-IDE AI systems, as well as Simplifying Skill Building and Programming Tasks. Our key findings stress the need for AI systems that are more personalized, proactive, and reliable. We also emphasize the importance of context-aware and privacy-focused solutions and better integration with existing workflows. Furthermore, our findings show that while Adopters appreciate advanced features and non-interruptive integration, Churners emphasize the need for improved reliability and privacy. Non-Users, in contrast, focus on skill development and ethical concerns as barriers to adoption. Lastly, we provide recommendations for industry practitioners aiming to enhance AI integration within developer workflows.

翻译：如今，人工智能驱动的工具在集成开发环境（IDE）中的集成正在重塑软件开发生命周期。现有研究强调，用户期望这些工具具备高效性、情境感知能力、准确性、用户友好性、可定制性和安全性。然而，在理解开发者需求与挑战方面仍存在重大空白，特别是在IDE中与AI系统交互时，以及从不同用户群体的视角出发。本研究通过结构化访谈解决了这一空白，访谈对象涵盖IDE中AI工具的三大用户群体：采纳者、流失者和非使用者，共计35名开发者，以此构建了全面的IDE内人机交互体验设计空间。我们的研究结果凸显了IDE内AI系统在技术改进、交互设计与对齐性方面的关键领域，以及简化技能构建与编程任务的重要性。核心发现强调了对更具个性化、主动性和可靠性AI系统的需求。我们同时强调了情境感知与隐私优先的解决方案、以及与现有工作流更好集成的重要性。此外，研究发现：采纳者看重高级功能和无干扰集成，流失者则强调提升可靠性与隐私保护的必要性；而非使用者将技能发展与伦理问题视为采用的主要障碍。最后，我们为旨在增强开发者工作流中AI集成的行业实践者提供了具体建议。