Story · arXiv
How Much of a Harness Does a Strong Agent Need for Autonomous ML Engineering? (arXiv)
paper · Story page
Under an equal time budget with the same frontier backbone, state-of-the-art open-source ML-engineering harnesses showed no advantage over one session of a minimal coding agent with read, write and bash. The ablations point at the backbone, not the orchestration.
In plain words
- Researchers found that adding complex management software did not improve an automated coding assistant's results in their tests.
- The simpler setup let the assistant read files, change them, and run computer commands directly.
- Both setups used the same artificial intelligence system and had the same amount of time.
- For people building these assistants, the results suggest that the underlying artificial intelligence matters more than extra management software.
Appeared in
- Six ways an agent harness can run something other than what you approved
Oct 02, 2026 · in the sections
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