ATLAS: A Layered Constraint-Guided Framework for Structured Artifact Generation in LLM-Assisted MDE

📰 ArXiv cs.AI

ATLAS is a framework for generating structured artifacts using LLMs, guided by constraints and schemas

advanced Published 7 Apr 2026

Action Steps

Define the metamodel and domain representation
Compile constraints and rules into a validatable format
Use LLMs to generate artifacts within the constrained framework
Validate generated artifacts against schemas and audit requirements

Who Needs to Know This

Software engineers and AI researchers on a team can benefit from ATLAS, as it enables the generation of high-quality, structured artifacts that meet specific requirements and domain rules

Key Insight

💡 ATLAS separates domain representation, constraint compilation, and post-generation validation to ensure high-quality outputs

Key Takeaways

ATLAS is a framework for generating structured artifacts using LLMs, guided by constraints and schemas

Full Article

Title: ATLAS: A Layered Constraint-Guided Framework for Structured Artifact Generation in LLM-Assisted MDE

Abstract:
arXiv:2510.25890v3 Announce Type: replace-cross Abstract: ATLAS is a constraint-guided generation framework for structured engineering artifacts whose outputs must satisfy explicit schemas, domain rules, and audit requirements. Rather than treating a large language model as a standalone generator, ATLAS places generation inside a model-driven workflow that separates domain representation, constraint compilation, and post-generation validation. ATLAS combines three components. A metamodel-integra

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