Fixing Agent Over-Engineering: Optimizing Instructions for Simpler Auto-Fixes
alexcovo_eth · x · 2026-08-31
The author shares improvements to the no-mistakes agent to combat over-engineering during adversarial review loops. Key changes include:
- Escalating scope expansion to human review more often to prevent uncontrolled task growth.
- Prioritizing simplification over adding machinery in auto-fixes to avoid unnecessary complexity.
Private evals show significant improvements. Users are advised to update to version 1.60.2+. This serves as a practical case of instruction engineering and workflow optimization for agent behavior.
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