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AI Summary: Introduces a new framework and benchmark for evaluating multi-agent swarms on complex, repository-level software engineering tasks, proving the superiority of role-based agent collaboration.
AI Summary: Introduces a new framework and benchmark for evaluating multi-agent swarms on complex, repository-level software engineering tasks, proving the superiority of role-based agent collaboration.
As single-agent coding assistants plateau in their ability to handle repository-scale refactoring, multi-agent swarms have emerged as the new standard for autonomous software engineering. We introduce SWE-agent-2.0, a framework and evaluation suite designed to benchmark distributed agent swarms on real-world GitHub issues. By assigning distinct roles (Architect, Developer, Tester) within a sandboxed Unix environment, our reference swarm achieves a 42% resolution rate on the SWE-bench-Lite dataset, demonstrating that specialized agentic collaboration significantly outperforms monolithic code generation.
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