Code Researcher: Deep Research Agent for Large Systems Code and Commit History
Ramneet Singh∗, Sathvik Joel∗, Abhav Mehrotra, Nalin Wadhwa, Ramakrishna Bairi, Aditya Kanade, Nagarajan Natarajan
MSR-TR-2025-34 | June 2025
Publié par Microsoft
Ramakrishna Bairi
Principal RSDE
Papiers de Collaboration
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CodePlan: Repository-level Coding using LLMs and Planning
Ramakrishna Bairi, Atharv Sonwane, Aditya Kanade, Vageesh D C, Arun Shankar Iyer, Suresh Parthasarathy, Sriram Rajamani, B. Ashok, Shashank Shet
Proceedings of the ACM on Software Engineering | July 2024, Vol 1(FSE): pp. 675-698
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Class-Level Code Generation from Natural Language Using Iterative, Tool-Enhanced Reasoning over Repository
Ajinkya Deshpande, Anmol Agarwal, Shashank Shet, Arun Iyer, Aditya Kanade, Ramakrishna Bairi, Suresh Parthasarathy
International Conference on Machine Learning Workshop on Data-Centric Machine Learning Research (ICML-DMLR) | July 2024
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CodePlan: Repository-level Coding using LLMs and Planning
Ramakrishna Bairi, Atharv Sonwane, Aditya Kanade, Vageesh D C, Arun Iyer, Suresh Parthasarathy, Sriram Rajamani, B. Ashok, Shashank Shet
Neural Information Processing Systems Workshop on Foundation Models for Decision Making (FMDM-NeurIPS) | November 2023
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FiGURe: Simple and Efficient Unsupervised Node Representations with Filter Augmentations
Chanakya Ekbote, Ajinkya Pankaj Deshpande, Arun Iyer, Ramakrishna Bairi, Sundararajan Sellamanickam
NeurIPS 2023 | October 2023
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HeteGCN: Heterogeneous Graph Convolutional Networks for Text Classification
Rahul Ragesh, Sundararajan Sellamanickam, Arun Iyer, Ramakrishna Bairi, Vijay Lingam
Web Search and Data Mining (WSDM) | March 2021
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Code Researcher: Deep Research Agent for Large Systems Code and Commit History
Ramneet Singh∗, Sathvik Joel∗, Abhav Mehrotra, Nalin Wadhwa, Ramakrishna Bairi, Aditya Kanade, Nagarajan Natarajan
MSR-TR-2025-34 | June 2025
Publié par Microsoft
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CodePlan: Repository-level Coding using LLMs and Planning
Ramakrishna Bairi, Atharv Sonwane, Aditya Kanade, Vageesh D C, Arun Shankar Iyer, Suresh Parthasarathy, Sriram Rajamani, B. Ashok, Shashank Shet
Proceedings of the ACM on Software Engineering | July 2024, Vol 1(FSE): pp. 675-698
-
Class-Level Code Generation from Natural Language Using Iterative, Tool-Enhanced Reasoning over Repository
Ajinkya Deshpande, Anmol Agarwal, Shashank Shet, Arun Iyer, Aditya Kanade, Ramakrishna Bairi, Suresh Parthasarathy
International Conference on Machine Learning Workshop on Data-Centric Machine Learning Research (ICML-DMLR) | July 2024
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CodePlan: Repository-level Coding using LLMs and Planning
Ramakrishna Bairi, Atharv Sonwane, Aditya Kanade, Vageesh D C, Arun Iyer, Suresh Parthasarathy, Sriram Rajamani, B. Ashok, Shashank Shet
Neural Information Processing Systems Workshop on Foundation Models for Decision Making (FMDM-NeurIPS) | November 2023
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FiGURe: Simple and Efficient Unsupervised Node Representations with Filter Augmentations
Chanakya Ekbote, Ajinkya Pankaj Deshpande, Arun Iyer, Ramakrishna Bairi, Sundararajan Sellamanickam
NeurIPS 2023 | October 2023
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HeteGCN: Heterogeneous Graph Convolutional Networks for Text Classification
Rahul Ragesh, Sundararajan Sellamanickam, Arun Iyer, Ramakrishna Bairi, Vijay Lingam
Web Search and Data Mining (WSDM) | March 2021
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-
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Code Researcher: Deep Research Agent for Large Systems Code and Commit History
Ramneet Singh∗, Sathvik Joel∗, Abhav Mehrotra, Nalin Wadhwa, Ramakrishna Bairi, Aditya Kanade, Nagarajan Natarajan
MSR-TR-2025-34 | June 2025
Publié par Microsoft
-
CodePlan: Repository-level Coding using LLMs and Planning
Ramakrishna Bairi, Atharv Sonwane, Aditya Kanade, Vageesh D C, Arun Shankar Iyer, Suresh Parthasarathy, Sriram Rajamani, B. Ashok, Shashank Shet
Proceedings of the ACM on Software Engineering | July 2024, Vol 1(FSE): pp. 675-698
-
Class-Level Code Generation from Natural Language Using Iterative, Tool-Enhanced Reasoning over Repository
Ajinkya Deshpande, Anmol Agarwal, Shashank Shet, Arun Iyer, Aditya Kanade, Ramakrishna Bairi, Suresh Parthasarathy
International Conference on Machine Learning Workshop on Data-Centric Machine Learning Research (ICML-DMLR) | July 2024
-
CodePlan: Repository-level Coding using LLMs and Planning
Ramakrishna Bairi, Atharv Sonwane, Aditya Kanade, Vageesh D C, Arun Iyer, Suresh Parthasarathy, Sriram Rajamani, B. Ashok, Shashank Shet
Neural Information Processing Systems Workshop on Foundation Models for Decision Making (FMDM-NeurIPS) | November 2023
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-
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Code Researcher: Deep Research Agent for Large Systems Code and Commit History
Ramneet Singh∗, Sathvik Joel∗, Abhav Mehrotra, Nalin Wadhwa, Ramakrishna Bairi, Aditya Kanade, Nagarajan Natarajan
MSR-TR-2025-34 | June 2025
Publié par Microsoft
-
-
-
CodePlan: Repository-level Coding using LLMs and Planning
Ramakrishna Bairi, Atharv Sonwane, Aditya Kanade, Vageesh D C, Arun Shankar Iyer, Suresh Parthasarathy, Sriram Rajamani, B. Ashok, Shashank Shet
Proceedings of the ACM on Software Engineering | July 2024, Vol 1(FSE): pp. 675-698
-
-
-
Class-Level Code Generation from Natural Language Using Iterative, Tool-Enhanced Reasoning over Repository
Ajinkya Deshpande, Anmol Agarwal, Shashank Shet, Arun Iyer, Aditya Kanade, Ramakrishna Bairi, Suresh Parthasarathy
International Conference on Machine Learning Workshop on Data-Centric Machine Learning Research (ICML-DMLR) | July 2024
-
CodePlan: Repository-level Coding using LLMs and Planning
Ramakrishna Bairi, Atharv Sonwane, Aditya Kanade, Vageesh D C, Arun Iyer, Suresh Parthasarathy, Sriram Rajamani, B. Ashok, Shashank Shet
Neural Information Processing Systems Workshop on Foundation Models for Decision Making (FMDM-NeurIPS) | November 2023
-
FiGURe: Simple and Efficient Unsupervised Node Representations with Filter Augmentations
Chanakya Ekbote, Ajinkya Pankaj Deshpande, Arun Iyer, Ramakrishna Bairi, Sundararajan Sellamanickam
NeurIPS 2023 | October 2023
-
HeteGCN: Heterogeneous Graph Convolutional Networks for Text Classification
Rahul Ragesh, Sundararajan Sellamanickam, Arun Iyer, Ramakrishna Bairi, Vijay Lingam
Web Search and Data Mining (WSDM) | March 2021
-