Can AI automate software feature integration?
Feature-Factory: Automating Software Feature Integration Using Generative AI
The paper introduces Feature-Factory, a framework leveraging Generative AI (specifically LLMs like WatsonX.ai) to automate the integration of new features into existing software projects. It analyzes project structure, resolves dependencies, generates code modifications based on feature requests, and validates the updated project.
While not explicitly a multi-agent system, Feature-Factory's task decomposition and execution using LLMs are relevant to LLM-based multi-agent development. Each task generated for feature integration can be seen as an action performed by an LLM "agent." Furthermore, the paper's emphasis on dependency resolution, graph traversal, and project structure analysis are crucial aspects to consider when building LLM-based multi-agent web apps that interact with and modify complex existing systems. The task-based transformation and validation steps demonstrate a rudimentary form of agent coordination and monitoring, key concepts in multi-agent systems.