Direct access to read, write, and bash primitives often outperforms complex multi-agent orchestrators in machine learning engineering. Apple researchers found that primitive coding agents avoid the stagnation common in elaborate harnesses. This suggests that improving core LLM capabilities matters more than adding retrieval subagents.