How Much of a Harness Does a Strong Agent Need for Autonomous ML Engineering?
Summary
The paper investigates whether sophisticated multi-component harnesses improve autonomous ML engineering under equal time budgets. It finds that, with the same backbone, minimal coding agents can match or outperform elaborate harnesses, suggesting the backbone and coding agent design drive performance more than orchestration layers. The work has implications for AI automation tool design and practical ML workflow automation.