Bridging the Prototype-Production Gap: A Multi-Agent System for Notebooks Transformation
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arXiv
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| Main Authors: | , , |
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| Format: | Preprint |
| Published: |
2025
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| _version_ | 1866908641033977856 |
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| author | Elhashemy, Hanya Lotfy, Youssef Tang, Yongjian |
| author_facet | Elhashemy, Hanya Lotfy, Youssef Tang, Yongjian |
| contents | The increasing adoption of Jupyter notebooks in data science and machine learning workflows has created a gap between exploratory code development and production-ready software systems. While notebooks excel at iterative development and visualization, they often lack proper software engineering principles, making their transition to production environments challenging. This paper presents Codelevate, a novel multi-agent system that automatically transforms Jupyter notebooks into well-structured, maintainable Python code repositories. Our system employs three specialized agents - Architect, Developer, and Structure - working in concert through a shared dependency tree to ensure architectural coherence and code quality. Our experimental results validate Codelevate's capability to bridge the prototype-to-production gap through autonomous code transformation, yielding quantifiable improvements in code quality metrics while preserving computational semantics. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2511_07257 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Bridging the Prototype-Production Gap: A Multi-Agent System for Notebooks Transformation Elhashemy, Hanya Lotfy, Youssef Tang, Yongjian Software Engineering Multiagent Systems The increasing adoption of Jupyter notebooks in data science and machine learning workflows has created a gap between exploratory code development and production-ready software systems. While notebooks excel at iterative development and visualization, they often lack proper software engineering principles, making their transition to production environments challenging. This paper presents Codelevate, a novel multi-agent system that automatically transforms Jupyter notebooks into well-structured, maintainable Python code repositories. Our system employs three specialized agents - Architect, Developer, and Structure - working in concert through a shared dependency tree to ensure architectural coherence and code quality. Our experimental results validate Codelevate's capability to bridge the prototype-to-production gap through autonomous code transformation, yielding quantifiable improvements in code quality metrics while preserving computational semantics. |
| title | Bridging the Prototype-Production Gap: A Multi-Agent System for Notebooks Transformation |
| topic | Software Engineering Multiagent Systems |
| url | https://arxiv.org/abs/2511.07257 |