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SWE-Game benchmarks coding agents on 247 executable game tasks

huggingface.co by Xiaoyu Chen et al. Editor score 8/10

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.
actions execute observations results drivers andprobes instrumentationinterface games
Drivers and probes use an instrumentation interface to execute actions on games and observe them. Sketched from the article's own text.

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