Feature-Factory: Automating Software Feature Integration Using Generative AI
This addresses the challenge for software developers in efficiently integrating new features into existing projects, though it appears incremental as it builds on existing AI and parsing techniques.
The paper tackles the problem of automating software feature integration, which is complex and time-consuming, by presenting Feature-Factory, a framework that uses Generative AI to analyze, plan, and implement features, resulting in seamless integration while maintaining structural integrity.
Integrating new features into existing software projects can be a complex and time-consuming process. Feature-Factory leverages Generative AI with WatsonX.ai to automate the analysis, planning, and implementation of feature requests. By combining advanced project parsing, dependency resolution, and AI-generated code, the program ensures seamless integration of features into software systems while maintaining structural integrity. This paper presents the methodology, mathematical model, and results of the Feature-Factory framework.