The Future of Development Environments with AI Foundation Models: NII Shonan Meeting 222 Report
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arXiv
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| Main Authors: | , , |
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| Format: | Preprint |
| Published: |
2025
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| _version_ | 1866915628278874112 |
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| author | Hu, Xing Kula, Raula Gaikovina Treude, Christoph |
| author_facet | Hu, Xing Kula, Raula Gaikovina Treude, Christoph |
| contents | 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 |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2511_16092 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | The Future of Development Environments with AI Foundation Models: NII Shonan Meeting 222 Report Hu, Xing Kula, Raula Gaikovina Treude, Christoph Software Engineering 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 |
| title | The Future of Development Environments with AI Foundation Models: NII Shonan Meeting 222 Report |
| topic | Software Engineering |
| url | https://arxiv.org/abs/2511.16092 |