[R] What 1000+ Harness Experiments Taught Me About Self-Improving Agents [R]

In three linesA researcher conducted 1000+ experiments on AI agent self-improvement through harness modification for terminal bench tasks. Agents can propose meaningful one-time changes, but continuous self-improvement faces system-level challenges: determining which improvements can safely compound. Parallels noted with coding-agent customization patterns.

Summary generated by Claude — human-verified