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SWE-Game benchmarks coding agents on 247 executable game tasks
SWE-Game evaluates agents on 247 tasks across 41 Godot games, using execution checks, replay, and feature demonstrations; the best construction-task scores remain below 60/100. Its task design and failure analysis provide a concrete way to assess coding-agent capabilities.
- What
- SWE-Game benchmarks coding agents on 247 tasks from 41 executable Godot games across 13 2D and 3D categories.
- Method
- Evaluation combines engine-state checks, reference-input replay, agent demos, and visual rubrics; reviewed failures often omit requirements or contain logic errors.
- Why it matters
- Executable checks reached 92.59% balanced accuracy on human-labeled behaviors, versus 78.41% for a video-based VLM judge.
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