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New multi-agent system automates code migration and optimization

By PulseAugur Editorial · [1 sources] ·

Researchers have developed CodeMeepo, a multi-agent system designed to automate the migration and optimization of large code repositories between programming languages. This system addresses challenges such as maintaining observable behavior across interdependent modules, handling context window limitations, and ensuring performance improvements. CodeMeepo utilizes specialized agents that communicate via file artifacts and a state machine to manage tasks, evaluate milestones against an external oracle, and conduct optimization and conformance testing. In evaluations across nine subjects and three language pairs, CodeMeepo demonstrated a superior pass rate compared to existing multi-agent baselines and improved benchmark performance by an average of 25% on a production daemon. AI

IMPACT This system could streamline software development by automating complex code migration tasks, potentially reducing development time and costs.

RANK_REASON The item is a research paper detailing a new system and its evaluation. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New multi-agent system automates code migration and optimization

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The item is a research paper detailing a new system and its evaluation. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Farzad Habibi, Changrong Wu, Jinzhou Jiang, Guohan Lu ·

    CodeMeepo: A Multi-Agent Workflow for Repository-Level Code Migration and Optimization

    arXiv:2610.34633v1 Announce Type: cross Abstract: Repository-level code migration rewrites an entire project in a new programming language while preserving its observable behavior. It is challenging because behavior spans interdependent modules, dependencies and build infrastruct…

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