How to Design a Program Repair Bot? Insights from the Repairnator Project
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Abstract (arXiv)
Program repair research has made tremendous progress over the last few years, and software development bots are now being invented to help developers gain productivity. In this paper, we investigate the concept of a " program repair bot " and present Repairnator. The Repairnator bot is an autonomous agent that constantly monitors test failures, reproduces bugs, and runs program repair tools against each reproduced bug. If a patch is found, Repairnator bot reports it to the developers. At the time of writing, Repairnator uses three different program repair systems and has been operating since February 2017. In total, it has studied 11 317 test failures over 1 609 open-source software projects hosted on GitHub, and has generated patches for 17 different bugs. Over months, we hit a number of hard technical challenges and had to make various design and engineering decisions. This gives us a unique experience in this area. In this paper, we reflect upon Repairnator in order to share this knowledge with the automatic program repair community.
Key facts. Cited by 11 papers in the map (data through 14 Oct 2026). First posted on arXiv 24 Nov 2018.
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Citing papers per year: 2023: 2; 2024: 3; 2025: 2; 2026: 4.
11 papers.
- 2023RAP-Gen: Retrieval-Augmented Patch Generation with CodeT5 for Automatic Program Repaircited by 44
- 2023Towards Human-Bot Collaborative Software Architecting with ChatGPTcited by 31
- 2026AIDev: Studying AI Coding Agents on GitHubcited by 17
- 2026SGAgent: Suggestion-Guided LLM-Based Multi-Agent Framework for Repository-Level Software Repaircited by 9
- 2024Motivations, Challenges, Best Practices, and Benefits for Bots and Conversational Agents in Software Engineering: A Multivocal Literature Reviewcited by 6
- 2024C4Q: A Chatbot for Quantumcited by 3
- 2025Accelerating Automatic Program Repair with Dual Retrieval-Augmented Fine-Tuning and Patch Generation on Large Language Modelscited by 1
- 2024NARRepair: Non-Autoregressive Code Generation Model for Automatic Program Repaircited by 0
- 2025Architecture for a Trustworthy Quantum Chatbotcited by 0
- 2026From Assistance to Agency: Rethinking Autonomy and Control in CI/CD Pipelinescited by 0
- 2026Co-Modifying Application Code and Deployment Infrastructure: A Causal Study of AI Agent Pull Requestscited by 0
- 2026Co-Modifying Application Code and Deployment Infrastructure: A Causal Study of AI Agent Pull Requests9 Oct 2026
- 2026From Assistance to Agency: Rethinking Autonomy and Control in CI/CD Pipelines8 May 2026
- 2026SGAgent: Suggestion-Guided LLM-Based Multi-Agent Framework for Repository-Level Software Repair27 Feb 2026
- 2026AIDev: Studying AI Coding Agents on GitHub9 Feb 2026
- 2025Accelerating Automatic Program Repair with Dual Retrieval-Augmented Fine-Tuning and Patch Generation on Large Language Models14 Jul 2025
- 2025Architecture for a Trustworthy Quantum Chatbot6 Mar 2025
- 2024Motivations, Challenges, Best Practices, and Benefits for Bots and Conversational Agents in Software Engineering: A Multivocal Literature Review18 Sep 2024
- 2024NARRepair: Non-Autoregressive Code Generation Model for Automatic Program Repair24 Jun 2024
- 2024C4Q: A Chatbot for Quantum29 Jan 2024
- 2023RAP-Gen: Retrieval-Augmented Patch Generation with CodeT5 for Automatic Program Repair12 Sep 2023
- 2023Towards Human-Bot Collaborative Software Architecting with ChatGPT26 Feb 2023