RealSWE benchmark: realistic user requests test coding agents, explicit intent boosts results
skku · hf · 2026-09-03
SKKU released RealSWE, a compositional benchmark evaluating coding agents under realistic user requests rather than polished benchmark tasks.
Key findings:
- Real-world coding requests are shorter and more casual than typical benchmark tasks, often under-specifying requirements
- Explicitly stating desired behavior and motivation in the prompt improves LLM software engineering performance
The benchmark is a useful reference for agent eval engineering: filling in intent context is a low-cost way to boost coding agent results.
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