Architecture Without Architects: How AI Coding Agents Shape Software Architecture

Accepted SAGAI Workshop, IEEE ICSA 2026 2026

P. M. Konrad, T. L. Adam, R. Terrenzi, S. Ayvaz

Headline result

Six prompt-architecture coupling patterns explain how natural-language instructions covertly dictate the infrastructure an AI coding agent will ship. We call this vibe architecting and argue it must be brought under governance before it becomes an unreviewable architectural backdoor.

Method in brief

We survey current agentic coding tools and identify five mechanisms by which they make implicit architectural choices, then analyse prompt-architecture coupling across an illustrative case study where changing the prompt alone produces structurally different systems for the same task.

Key Contributions

Abstract

AI coding agents select frameworks, scaffold infrastructure, and wire integrations, often in seconds. These are architectural decisions, yet almost no one reviews them as such. We identify five mechanisms by which agents make implicit architectural choices and propose six prompt-architecture coupling patterns that map natural-language prompt features to the infrastructure they require. The patterns range from contingent couplings (structured output validation) that may weaken as models improve to fundamental ones (tool-call orchestration) that persist regardless of model capability. An illustrative demonstration confirms that prompt wording alone produces structurally different systems for the same task. We term the phenomenon vibe architecting — architecture shaped by prompts rather than deliberate design — and outline review practices, decision records, and tooling to bring these hidden decisions under governance.