The New Compiler Stack: A Survey on the Synergy of LLMs and Compilers
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| Main Authors: | , , , , , , |
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| Format: | Preprint |
| Published: |
2026
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| _version_ | 1866911355047510016 |
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| author | Zhang, Shuoming Zhao, Jiacheng Yu, Qiuchu Xia, Chunwei Wang, Zheng Feng, Xiaobing Cui, Huimin |
| author_facet | Zhang, Shuoming Zhao, Jiacheng Yu, Qiuchu Xia, Chunwei Wang, Zheng Feng, Xiaobing Cui, Huimin |
| contents | This survey has provided a systematic overview of the emerging field of LLM-enabled compilation by addressing several key research questions. We first answered how LLMs are being integrated by proposing a comprehensive, multi-dimensional taxonomy that categorizes works based on their Design Philosophy (Selector, Translator, Generator), LLM Methodology, their operational Level of Code Abstraction, and the specific Task Type they address. In answering what advancements these approaches offer, we identified three primary benefits: the democratization of compiler development, the discovery of novel optimization strategies, and the broadening of the compiler's traditional scope. Finally, in addressing the field's challenges and opportunities, we highlighted the critical hurdles of ensuring correctness and achieving scalability, while identifying the development of hybrid systems as the most promising path forward. By providing these answers, this survey serves as a foundational roadmap for researchers and practitioners, charting the course for a new generation of LLM-powered, intelligent, adaptive and synergistic compilation tools. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2601_02045 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | The New Compiler Stack: A Survey on the Synergy of LLMs and Compilers Zhang, Shuoming Zhao, Jiacheng Yu, Qiuchu Xia, Chunwei Wang, Zheng Feng, Xiaobing Cui, Huimin Programming Languages Artificial Intelligence Software Engineering This survey has provided a systematic overview of the emerging field of LLM-enabled compilation by addressing several key research questions. We first answered how LLMs are being integrated by proposing a comprehensive, multi-dimensional taxonomy that categorizes works based on their Design Philosophy (Selector, Translator, Generator), LLM Methodology, their operational Level of Code Abstraction, and the specific Task Type they address. In answering what advancements these approaches offer, we identified three primary benefits: the democratization of compiler development, the discovery of novel optimization strategies, and the broadening of the compiler's traditional scope. Finally, in addressing the field's challenges and opportunities, we highlighted the critical hurdles of ensuring correctness and achieving scalability, while identifying the development of hybrid systems as the most promising path forward. By providing these answers, this survey serves as a foundational roadmap for researchers and practitioners, charting the course for a new generation of LLM-powered, intelligent, adaptive and synergistic compilation tools. |
| title | The New Compiler Stack: A Survey on the Synergy of LLMs and Compilers |
| topic | Programming Languages Artificial Intelligence Software Engineering |
| url | https://arxiv.org/abs/2601.02045 |