FM Conference 2026 Conference Paper
Verifiably UX Compliant and User-Intent Layout Generation (Extended Abstract)
- Joana Coutinho
- Alexandre Lemos
- Pedro Resende
Abstract Low-code platforms accelerate development of mission-critical applications, enabling users with less technical backgrounds to become proficient developers. AI-powered multi-agent systems further boost this experience. Large language models (LLMs) excel at understanding user intent, but alone cannot guarantee that design rules are followed - formal methods can provide such guarantees. We propose a hybrid approach that leverages both LLMs and a maximum satisfiability solver to generate layouts that comply with UX guidelines (e. g. , widget ordering and grouping rules) while respecting user intent. We evaluate the approach in production against an LLM-only baseline.