Scaffolding

In AI engineering, scaffolding refers to the additional engineering code layer that developers build around LLM calls to compensate for model capability gaps. It encompasses components such as tool routers, retry decorators, output validators, and planners. As underlying model capabilities improve, the necessity for extensive scaffolding tends to diminish correspondingly.