A new academic paper investigates the necessity of complex harnesses for autonomous machine learning engineering agents. Researchers analyze whether multi-agent orchestrators and retrieval subagents outperform simpler coding agents with direct execution environment access. The findings provide valuable architectural insights for developers building autonomous software engineering workflows.
Opening Kapyn…