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Prompt Sapper: LLM-Empowered Software Engineering Infrastructure for AI-Native Services

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arxiv 2306.02230 v1 pith:UR7O6I7D submitted 2023-06-04 cs.SE

classification cs.SE
keywords engineeringpromptai-nativeinnovationlanguagesapperserviceschain
verification ladder T0 review T1 audit T2 compute T3 formal
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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.

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