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SWE-Duel: Towards a Self-Scaling Arena for Coding Agents
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benchmarkingcoding agentsself-scalingAI evaluation
2610.12569
Builder Relevance
2h ago80%
Abstract
The paper introduces SWE-Duel, a self-scaling coding benchmark that generates tasks at evaluation time to prevent task leakage and adapt difficulty based on agent performance.
Reality Card
Core Claim
SWE-Duel successfully demonstrates a self-scaling benchmark where coding agents evaluate each other, leading to a significant performance difference based on task authoring capability.
Method / Result
GPT-5.5 with Codex CLI repaired 98.3% of the defects it reviewed.
Limitations
The study's results may be limited by the specific repositories and languages used, which may not generalize to all coding environments.
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