[2605.04973] Architectural Constraints Alignment in AI-assisted, Platform-based Service Development

Computer Science > Software Engineering arXiv:2605.04973 (cs) [Submitted on 6 May 2026] Title:Architectural Constraints Alignment in AI-assisted, Platform-based Service Development Authors:Julius Irion, Moritz Leugers, Paul Hartwig, Simon Kling, Tachmyrat Annayev, Alexander Schwind, Maria C. Borges, Sebastian Werner View a PDF of the paper titled Architectural Constraints Alignment in AI-assisted, Platform-based Service Development, by Julius Irion and 7 other authors View PDF HTML (experimental) Abstract:AI-assisted development tools enable rapid prototyping of services but often lack awareness of architectural constraints, infrastructure dependencies, and organizational standards required in production environments. Consequently, generated artifacts may exhibit brittle behavior and limited deployability. We propose a retrieval-augmented scaffolding approach that combines platform-based code generation with agentic clarification loops to expose and resolve architectural constraint ambiguities. By combining template retrieval with structured interaction, the method embeds production-relevant considerations during service scaffolding. Evaluation indicates improved architectural consistency and deployability compared to general-purpose AI code generation workflows, suggesting that constraint-aware retrieval is essential for aligning AI-assisted service development with production software engineering practices. Comments: Subjects: Software Engineering (cs.SE); Artificial Int...