Prompt Sapper: LLM-Empowered Software Engineering Infrastructure for
AI-Native Services
Abstract
Foundation models, such as GPT-4, DALL-E have brought unprecedented AI
“operating system” effect and new forms of human-AI interaction,
sparking a wave of innovation in AI-native services, where natural
language prompts serve as executable “code” directly (prompt as
executable code), eliminating the need for programming language as an
intermediary and opening up the door to personal AI. Prompt Sapper has
emerged in response, committed to support the development of AI-native
services by AI chain engineering. It creates a large language model
(LLM) empowered software engineering infrastructure for authoring AI
chains through human-AI collaborative intelligence, unleashing the AI
innovation potential of every individual, and forging a future where
everyone can be a master of AI innovation. This article will introduce
the R\&D motivation behind Prompt Sapper, along with its
corresponding AI chain engineering methodology and technical practices.