This research categorizes the various ways developers collaborate with AI tools throughout the software development lifecycle, creating a framework to understand human-AI interaction patterns.

• Interaction Patterns identified across multiple development activities
• Collaboration Types that range from AI suggestions to co-creation workflows
• Key Engineering Contexts where AI assistance proves most valuable
• Practical Applications for improving developer tools and workflows

For engineering teams, this taxonomy provides valuable insights for optimizing AI tool integration, enhancing developer productivity, and designing more effective human-AI collaboration systems in software development environments.

How Developers Interact with AI: A Taxonomy of Human-AI Collaboration in Software Engineering