Repository-Level LLM Agents: A Reinforcement Learning Approach
Published:Dec 24, 2025 05:27
•1 min read
•ArXiv
Analysis
This ArXiv paper explores the application of Reinforcement Learning to create LLM agents capable of operating at a repository level, which is a novel and potentially impactful area. The focus on repository-level operation suggests a significant shift in how LLMs can be used for software development and related tasks.
Key Takeaways
Reference
“The paper focuses on repository-level operation.”