AI Software Prototype Generation for Development Bottlenecks
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Solution Overview
Problem
Software application development is time-consuming and costly due to the complexity of designing applications that work across multiple hardware configurations and require integration with online servers, even for experienced developers.
Innovation Solution
A system and method that utilize AI-assisted platforms to streamline software development by generating application prototypes and recommending launch screens based on customer inputs and intent analysis during calls, predicting software applications of interest, and estimating linkages between features to simplify the development process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If software application development is performed using traditional methods with multiple separate function sets, then the application can work across multiple hardware configurations and connect to online servers, but the development time and cost increase significantly
Solution Approach 1:
The patent combines multiple separate function sets into a single integrated software application that can handle user authentication, product selection, and purchase operations. This consolidation reduces development complexity while maintaining compatibility across different hardware configurations and server connections.
Solution Approach 2:
The software application is designed with universal functionality that enables it to operate across multiple hardware configurations and connect to various online servers. The application implements a standardized interface that adapts to different underlying systems, reducing the need for separate development for each configuration.
2Adaptability or versatility
If software application development is performed using traditional methods with multiple separate function sets, then the application can perform various processes like user login, product selection, and purchase, but the development cost increases
Solution Approach 1:
The patent merges multiple separate function sets into a unified application architecture. Instead of developing separate modules for user authentication, product browsing, and transaction processing, the system integrates these functions into a single coherent application, reducing overall development cost while maintaining full functionality.
Solution Approach 2:
The application implements a universal framework that provides multiple functional capabilities through a single codebase. This approach allows the same application to perform user login, product selection, and purchase operations without requiring separate development efforts for each function, thereby reducing development costs.
3Productivity
If AI-assisted platforms are used to generate application prototypes and recommend features, then the development time and cost are reduced, but the system complexity increases
Solution Approach 1:
The patent introduces an AI-assisted platform as an intermediary between the developer and the software development process. This intermediary automatically generates application prototypes, analyzes customer inputs, and recommends features during calls, thereby improving productivity while managing system complexity through automated mediation.
Solution Approach 2:
The system implements self-service capabilities where the AI platform automatically performs tasks such as generating prototypes, analyzing customer intent, and recommending features without requiring extensive manual intervention. This automation improves development efficiency while the system manages its own complexity through intelligent self-management.
Data Source
AI summary
The present disclosure relates to a computer system and method for generating a software application. A method to generate a software application includes receiving, from a user, a request to generate a software application, generating one or more prompts that are configured to produce a response, from the user, that refines a description of the software application and determining one or more features of the software application based on one or more responses to the one or more prompts.