Researchers have developed Phoenix, a multi-agent LLM system designed to automatically resolve GitHub issues. The system utilizes six specialized agents, including a planner, coder, and tester, to manage the process from issue triage to pull request creation. Phoenix incorporates seven layered safety controls and a baseline-aware testing strategy, achieving a 75% oracle resolution rate on a curated SWE-bench Lite slice and maintaining 100% correctness preservation in a pilot study on real-world issues. AI
IMPACT This research demonstrates a significant step towards autonomous software development and maintenance, potentially streamlining developer workflows.
RANK_REASON The cluster describes a research paper detailing a novel system for automated issue resolution using LLMs. [lever_c_demoted from research: ic=1 ai=1.0]
Read on arXiv cs.MA (Multiagent) →
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