Spec-Driven Development:From Code to Contract in the Age of AI Coding Assistants

Fuente: arXiv
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Main Author: Piskala, Deepak Babu
Format: Preprint
Published: 2026
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author Piskala, Deepak Babu
author_facet Piskala, Deepak Babu
contents The rise of AI coding assistants has reignited interest in an old idea: what if specifications-not code-were the primary artifact of software development? Spec-driven development (SDD) inverts the traditional workflow by treating specifications as the source of truth and code as a generated or verified secondary artifact. This paper provides practitioners with a comprehensive guide to SDD, covering its principles, workflow patterns, and supporting tools. We present three levels of specification rigor-spec-first, spec-anchored, and spec-as-source-with clear guidance on when each applies. Through analysis of tools ranging from Behavior-Driven Development frameworks to modern AI-assisted toolkits like GitHub Spec Kit, we demonstrate how the spec-first philosophy maps to real implementations. We present case studies from API development, enterprise systems, and embedded software, illustrating how different domains apply SDD. We conclude with a decision framework helping practitioners determine when SDD provides value and when simpler approaches suffice.
format Preprint
id arxiv_https___arxiv_org_abs_2602_00180
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Spec-Driven Development:From Code to Contract in the Age of AI Coding Assistants
Piskala, Deepak Babu
Software Engineering
Artificial Intelligence
The rise of AI coding assistants has reignited interest in an old idea: what if specifications-not code-were the primary artifact of software development? Spec-driven development (SDD) inverts the traditional workflow by treating specifications as the source of truth and code as a generated or verified secondary artifact. This paper provides practitioners with a comprehensive guide to SDD, covering its principles, workflow patterns, and supporting tools. We present three levels of specification rigor-spec-first, spec-anchored, and spec-as-source-with clear guidance on when each applies. Through analysis of tools ranging from Behavior-Driven Development frameworks to modern AI-assisted toolkits like GitHub Spec Kit, we demonstrate how the spec-first philosophy maps to real implementations. We present case studies from API development, enterprise systems, and embedded software, illustrating how different domains apply SDD. We conclude with a decision framework helping practitioners determine when SDD provides value and when simpler approaches suffice.
title Spec-Driven Development:From Code to Contract in the Age of AI Coding Assistants
topic Software Engineering
Artificial Intelligence
url https://arxiv.org/abs/2602.00180