Envisioning the Next-Generation AI Coding Assistants: Insights & Proposals
Fuente:
arXiv
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| Autori principali: | , , |
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| Natura: | Preprint |
| Pubblicazione: |
2024
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| _version_ | 1866913276939468800 |
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| author | Nghiem, Khanh Nguyen, Anh Minh Bui, Nghi D. Q. |
| author_facet | Nghiem, Khanh Nguyen, Anh Minh Bui, Nghi D. Q. |
| contents | As a research-product hybrid group in AI for Software Engineering (AI4SE), we present four key takeaways from our experience developing in-IDE AI coding assistants. AI coding assistants should set clear expectations for usage, integrate with advanced IDE capabilities and existing extensions, use extendable backend designs, and collect app data responsibly for downstream analyses. We propose open questions and challenges that academia and industry should address to realize the vision of next-generation AI coding assistants. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2403_14592 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Envisioning the Next-Generation AI Coding Assistants: Insights & Proposals Nghiem, Khanh Nguyen, Anh Minh Bui, Nghi D. Q. Software Engineering Artificial Intelligence Human-Computer Interaction As a research-product hybrid group in AI for Software Engineering (AI4SE), we present four key takeaways from our experience developing in-IDE AI coding assistants. AI coding assistants should set clear expectations for usage, integrate with advanced IDE capabilities and existing extensions, use extendable backend designs, and collect app data responsibly for downstream analyses. We propose open questions and challenges that academia and industry should address to realize the vision of next-generation AI coding assistants. |
| title | Envisioning the Next-Generation AI Coding Assistants: Insights & Proposals |
| topic | Software Engineering Artificial Intelligence Human-Computer Interaction |
| url | https://arxiv.org/abs/2403.14592 |