Researchers found that the primary driver of performance in autonomous machine learning engineering (MLE) agents is the backbone Large Language Model (LLM), not the harness architecture. A minimal-harness coding agent baseline performed as well as state-of-the-art harnesses under equal time budget and LLM backbone.