The Future of Development Environments with AI Foundation Models: NII Shonan Meeting 222 Report

2025/11/20 by Hu, Xing, Kula, Raula Gaikovina, Treude, Christoph
Computer Science · #AI-based Problem Solving and Planning #FOS: Computer and information sciences #Software Engineering (cs.SE) #Software Engineering Research #Software Engineering Techniques and Practices

paper · doi:10.48550/arxiv.2511.16092

openalex publication_date 2025/11/20 · openalex created_date 2025/11/23 · openalex updated_date 2026/07/28

Abstract

Generative Artificial Intelligence (GenAI) models are achieving remarkable performance in various tasks, including code generation, testing, code review, and program repair. The ability to increase the level of abstraction away from writing code has the potential to change the Human-AI interaction within the integrated development environment (IDE). To explore the impact of GenAI on IDEs, 33 experts from the Software Engineering, Artificial Intelligence, and Human-Computer Interaction domains gathered to discuss challenges and opportunities at Shonan Meeting 222. This is the report

Citations

• The Current Challenges of Software Engineering in the Era of Large Language Models
• Asleep at the Keyboard? Assessing the Security of GitHub Copilot's Code Contributions

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