Toward Self-Evolution-Ready Workflow Harnesses: A Reversible Migration Path and Convertibility Taxonomy for Expert LLM Pipelines

The article presents a framework for evolving expert "LLM + script" workflows into adaptable systems through a reversible migration path, termed the Strangler-Fig approach. This framework introduces a three-tier convertibility taxonomy (A/B/C) that assesses and routes legacy workflows into composable, typed, and auditable stages, addressing the need for dynamic adaptation based on feedback. This development is significant for practitioners as it provides a structured method to modernize existing workflows, enhancing their flexibility and responsiveness in AI applications.