Spec Growth Engine：面向 AI 辅助软件开发、以规范为锚的代码耦合架构

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Abstract:AI coding agents dramatically accelerate implementation speed but introduce two structural failure modes that existing spec-driven approaches do not fully solve: (1) context explosion -- the agent must reason over an entire repository at once, degrading output quality as the context window fills; and (2) silent spec-code drift -- code evolves, the specification does not, and the divergence becomes invisible until it is costly to repair.
We present the Spec Growth Engine, a lightweight framework that addresses both failure modes through a machine-readable spec graph whose nodes carry explicit contract/design separation, a Spine context assembler that scopes agent context to an ownership path, a vertical-slice growth protocol that enforces hardest-first ordering, and a drift gate that makes spec-code divergence a blocking merge condition.
The design synthesises well-established software engineering principles (Parnas information hiding, C4, ADRs, Walking Skeleton, Reflexion Models, Fitness Functions) into a lean, code-coupled, machine-enforced whole -- without the overhead of heavy-weight frameworks such as RUP or MDA.

Comments:	15 pages. Code: this https URL. Implementation: arXiv:2610.11725
Subjects:	Software Engineering (cs.SE); Artificial Intelligence (cs.AI)
Cite as:	arXiv:2606.27045 [cs.SE]
	(or arXiv:2606.27045v2 [cs.SE] for this version)
	https://doi.org/10.48550/arXiv.2606.27045 arXiv-issued DOI via DataCite

Submission history

From: Hartwig Grabowski [view email]
[v1] Thu, 25 Jun 2026 13:51:22 UTC (21 KB)
[v2] Fri, 9 Oct 2026 16:19:41 UTC (23 KB)