ReFigBench shows harness choice changes coding agent results
The same model can score differently depending on the harness around it, so benchmark numbers reflect the full stack rather than the model alone. Teams evaluating coding agents should rerun comparisons under their own harness before drawing conclusions. ReFigBench adds a new evaluation axis, and details are on arXiv (2609.18844) alongside a chat interface from dair.ai.
