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New multi-agent framework automates coordinated code renaming

Researchers have developed a novel multi-agent framework to automate coordinated renaming in software development. This system addresses the challenges developers face when manually propagating renames across multiple related identifiers, a process that is often tedious and error-prone. The framework uses a Scope Inference Agent to translate an initial developer refactoring into a declared scope, which a Planned Execution Agent then uses to safely execute changes via IDE refactoring APIs. A Replication Agent guides project-wide searches, aiming to reduce developer burden while maintaining human oversight. AI

IMPACT This framework could significantly streamline software development by automating complex refactoring tasks, allowing developers to focus on higher-level problem-solving.

RANK_REASON The cluster describes a research paper detailing a novel framework for software development. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

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New multi-agent framework automates coordinated code renaming

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37 / 100
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The cluster describes a research paper detailing a novel framework for software development. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Abhiram Bellur, Mohammed Raihan Ullah, Dima Golubenko, Fraol Batole, Mohit Kansara, Masaharu Morimoto, Kai Ishikawa, Haifeng Chen, Yaroslav Zharov, Timofey Bryksin, Tien N. Nguyen, Hridesh Rajan, Danny Dig ·

    Multi-Agent Coordinated Rename Refactoring

    arXiv:2601.00482v2 Announce Type: replace-cross Abstract: The primary value of AI agents in software development lies in their ability to extend the developer's capacity for reasoning and action, not to supplant human involvement. To showcase how to use agents working in tandem w…