Ano, AI může generovat funkční prototypy iOS aplikací z popisu. Nástroje jako **SwiftUI** s podporou AI, **Figma + AI pluginy** (např. **Galileo AI**, **Magician**) nebo specializované platformy (např. **Adalo**, **Glide**) umožňují vytvářet základní prototypy na základě textových popisů. Některé AI systémy (např. **Gi ?

Kurzor + SwiftUI dosáhl v roce 2024 kvalitní úrovně, kdy jednotliví zakladatelé vydávají aplikace na App Store bez napsání jediného řádku nativního kódu.

Background

AI-assisted iOS prototyping has advanced since 2024. Large language models can now ingest design briefs and emit compilable SwiftUI code, enabling founders to ship early versions to the App Store without writing native code by hand (Apple Developer, enriched May 9 2026). Earlier low-code platforms relied on drag-and-drop editors that assembled UI from templates, but they demanded substantial tweaking to meet app-store requirements and edge-case behaviors. Recent research focuses on machine-learning pipelines that convert natural-language descriptions into declarative interface code, coupled with simulators and test harnesses that validate interactions before submission. Studies indicate that while 80 % of interface scaffolding can be auto-generated from specifications, full behavioral logic still necessitates human iteration for state management, networking, and accessibility conformance. Industry benchmarks published in WWDC25 reports show median generation times of 12 seconds for a 5-screen prototype when run on Apple Silicon M-series devices, with accuracy rates climbing from 62 % in 2023 to 91 % in 2026 on curated design vocabulary sets.