Evaluating Primitive Primitives in Autonomous MLE Agents
September 30, 2026
The study examines whether complex multi-agent orchestrators are necessary for autonomous machine learning engineering. It suggests that improved coding agents with direct execution primitives like read, write, and bash may be more effective than elaborate harnesses.
HOW THIS AFFECTS YOU
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builderYou can improve agent performance by providing more direct, low-level execution access to the environment.
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researcherThis suggests focusing on LLM environment primitives rather than complex orchestration layers.