Preprint ASE 2026 · AgenticDev Próximamente

Spec-Graph Meta-framework for AI-Assisted Software Development: An Industry Case

Daniel Soto1, Daniel González-Rueda2, Mario Linares-Vásquez2, Andrés Hurtado3

1 — Tres Astronautas, Bogotá, Colombia
2 — Universidad de los Andes, Bogotá, Colombia
3 — Blend 360, Bogotá, Colombia

1st International Workshop on Agentic AI for Next-Generation Software Development (AgenticDev 2026) Junto a ASE 2026 · Múnich, Alemania · 12 de octubre de 2026 · Próximamente

Esta es la versión preprint (de los autores). Fue aceptada para publicación en ICSME 2026, pero aún no ha pasado por la edición y composición finales. La versión definitiva aparecerá en IEEE Xplore — por favor cita la versión publicada cuando esté disponible.

Resumen (Abstract)

EL ARTÍCULO ESTÁ PUBLICADO EN INGLÉS

AI-assisted software development increasingly relies on large language models to transform natural-language specifications into code. However, in most current workflows, specifications are treated as inline prompt content, limiting their structure, reuse, and traceability across development tasks. This paper introduces a meta-framework for spec-driven AI-assisted development in which specifications are represented as a typed, queryable graph consumed at runtime by software agents. The framework is organized around three principles: legibility, achieved through a typed hierarchy that distinguishes buildable artifacts from contextual constraints; addressability, enabled by a minimal set of edge types, substrate-agnostic graph materialization, and a cost-function-driven sequencing mechanism; and longevity, maintained through continuous curation of the specification substrate. We instantiate the framework in an industrial setting involving a multi-project software development organization with over fifty employees, using thirteen specification types, a multi-substrate architecture, and four cooperating AI agents. To explore the proposed framework’s behavior in practice we surveyed 19 practitioners in the organization after using the framework from one to five months.

Palabras clave
  • Spec-driven development
  • AI-assisted software engineering
  • knowledge graphs
  • code-generation agents
  • industrial study
Cómo citar
D. Soto, D. González-Rueda, M. Linares-Vásquez, and A. Hurtado, “Spec-Graph Meta-framework for AI-Assisted Software Development: An Industry Case,” in Proc. 1st Int. Workshop on Agentic AI for Next-Generation Software Development (AgenticDev 2026), co-located with the IEEE/ACM Int. Conf. on Automated Software Engineering (ASE), Munich, Germany, Oct. 2026, to appear.
BibTeX
@inproceedings{soto2026specgraph,
  author    = {Soto, Daniel and
               Gonz\'{a}lez-Rueda, Daniel and
               Linares-V\'{a}squez, Mario and
               Hurtado, Andr\'{e}s},
  title     = {{Spec-Graph} Meta-framework for {AI}-Assisted Software
               Development: An Industry Case},
  booktitle = {Proc. 1st Int. Workshop on Agentic AI for Next-Generation
               Software Development (AgenticDev 2026), co-located with the
               IEEE/ACM Int. Conf. on Automated Software Engineering (ASE)},
  address   = {Munich, Germany},
  month     = oct,
  year      = {2026},
  note      = {To appear}
}

Más artículos en camino

Aquí publicaremos más trabajos de Tres Astronautas, Universidad de los Andes y Blend·Colombia — incluyendo investigación sobre grafos de especificación.