Prompter — From Design to Code in Minutes, Not Hours

2026Full Cycleinner-tools

Role

Full cycle: from idea and architecture to development and deployment.

Tech

Swift + SwiftUI, native macOS app. Claude API (Sonnet) for image analysis. Local project storage (~/Documents/Prompter), design system in UserDefaults. No servers, backends, or subscriptions — just your API key.

Key features

01Detailed description of each screen
02Design system
03Business logic and navigation
04Ready-made prompts for Cursor IDE

Problem

Between the mockup and working code lies a tedious pit. A developer receives screen screenshots and manually describes each UI element, extracts colors and fonts, compiles an asset list, documents navigation, writes prompts for AI coding. Ten screens take a full working day — and the quality and structure vary every time.

Prompter eliminates this entire step.

Audience

iOS developers working with Figma/Sketch mockups who want to accelerate design-to-code transfer — especially when using AI assistants (Cursor, Claude Code).

Mobile teams where a designer hands off screens to a developer — Prompter standardizes the documentation format and eliminates misinterpretations.

Freelancers and solo developers without a dedicated designer writing specs — the app replaces that step.

Prototyping — quickly turn a set of screens into structured documentation and code generation prompts.

What's different

Manual	Prompter
Hours to describe each screen	Seconds — AI analyzes the screenshot
Assets named however	Automatic kebab-case, deduplication
Design system assembled by hand	Extracted from mockups automatically
Cursor prompts written from scratch	Generated with full project context
Documentation — scattered files	Single project with versioning

Key difference from code generators: Prompter doesn't write code for you. It creates precise, structured documentation that makes AI coding tools predictable and high-quality.