SDAD: Spec-Driven Agentic Development for the AI-Native SDLC

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AI-native SDLCspecificationagentic developmentquantitative governance

2608.20341

Builder Relevance

70%

2h ago

Abstract

The paper discusses how large language models are transforming the Software Development Life Cycle through Spec-Driven Agentic Development.

Reality Card

Core Claim

The paper formalizes Spec-Driven Agentic Development (SDAD) as a new approach that combines formal specification with high-velocity implementation, enhancing the SDLC.

Method / Result

Introduces quantitative governance metrics such as Ambiguity Tax and Spec Fidelity.

Limitations

The paper does not specify empirical validation or case studies to support the proposed model.

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