For our new intelligent AI-FLASHCARD-FR project we are experimenting with Generative AI to conceptualize, design, develop, and implement the App/Web in a fraction of the time with almost no human programming coding involved.
We are using draft images of our app/web pages mockups (wireframes, sketches) together with simple concept text to define the scope and structure of the project. The visuals show layout, navigation, and user flow, while the text explains purpose, features, and target users. Together, they give us a clear, shared foundation that turns ideas into concrete pages, modules, and user journeys.
From this base, we get AI to generate developer-ready specifications. Each screen is translated into functional requirements, UI components, and backend needs. The concept text helps define business logic, constraints, and edge cases. This allows to produce, with AI, structured outputs such as data models, API endpoints, and component architecture, enabling efficient development and testing.
AI is building next a blueprint for LLM integration with prompt design. Each module is linked to specific prompt templates that define inputs, context, instructions, and expected outputs. By aligning prompts with user flows and UI actions, consistency, control, and testability are ensured, making the LLM API a reliable and modular core of the application.
It will reduce the design, development and implementation time from few months to days. AI will generate automatically thousands of lines of codes.