HyperAgent: Revolutionizing Software Engineering with AI
Practical Solutions and Value
HyperAgent, a multi-agent system, is designed to handle a wide range of software engineering tasks across different programming languages. It comprises four specialized agents—Planner, Navigator, Code Editor, and Executor—managing the full lifecycle of SE tasks, from initial conception to final verification.
HyperAgent demonstrates competitive performance across diverse SE tasks, including GitHub issue resolution, code generation at repository scale, and fault localization and program repair. It offers a versatile and comprehensive solution, transforming AI-assisted software development practices.
Methodology
HyperAgent is inspired by typical developer workflows and consists of four iterative phases: Analysis & Plan, Feature Localization, Edition, and Execution. The framework is organized around four primary agents: Planner, Navigator, Code Editor, and Executor, each corresponding to a specific step in the overall workflow.
Advantages
HyperAgent offers generalizability, efficiency, and scalability, allowing it to effectively tackle a broad spectrum of software engineering tasks while maintaining efficiency and scalability.
Conclusion
HyperAgent is a generalist multi-agent system that matches or exceeds the performance of specialized systems in diverse SE tasks. Its success highlights the potential of generalist approaches in software engineering, offering a versatile tool that can adapt to various tasks with minimal configuration changes.
Future Work
Future work could explore integrating HyperAgent with existing development environments, investigating its potential in specialized domains, enhancing its explainability, and continually updating its knowledge base to further streamline the software engineering process.
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