ECDYSIS paper: patch agent harnesses by failure patterns, not failure counts
rohanpaul_ai · x · 2026-09-21
surmenok highlights the arXiv paper "Ecdysis: Efficient and Effective Training of Runtime Harnesses for LLM Agents," which argues agent runtimes shouldn't be rewritten for every failure.
- Patching the harness on every bad decision risks hard-coding one model's bad habits into the system, teaching the wrong lesson
- ECDYSIS instead groups recurring failure types across different tasks and only fixes the harness when the same kind of failure repeats
- Results: higher accuracy, faster training, and stronger cross-model transfer
Takeaway: agent runtimes should learn from failure patterns, not failure counts.
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