AgentForge: A Role-Playing Platform for Learning Agentic Software Engineering
AgentForge is an innovative educational platform aimed at assisting beginners in understanding and working alongside agentic AI within software development. The system, detailed in a paper on arXiv (2608.04148), tackles the issue of agentic AI's opacity and the assumption that users can effectively oversee and assess its results. Participants assume one of four roles in software engineering—Task Planner, Patch Author, Code Reviewer, or Test Runner—while AI agents manage the other three roles in a collaborative code-repair process. Utilizing role-based scaffolding and metacognitive support, AgentForge clarifies responsibilities and enhances the learning experience. The paper, titled 'AgentForge: An Immersive Role-Playing Platform for Learning Agentic Software Engineering,' is a cross-type submission available on arXiv, aiming to help novices learn about agentic AI, collaboration, and critical evaluation.
Key facts
- AgentForge is an immersive learning system for novices to learn agentic software engineering.
- It was presented in a paper on arXiv with identifier 2608.04148.
- The system involves four software-engineering roles: Task Planner, Patch Author, Code Reviewer, and Test Runner.
- Novices perform one role while AI agents perform the remaining three in a multi-agent code-repair workflow.
- The platform provides role-based scaffolding and metacognitive support.
- It addresses the lack of transparency in agentic AI systems.
- The paper is announced as a cross-type submission.
- The goal is to help novices learn how agentic AI works, collaborate with it, and evaluate its outputs.
Entities
Institutions
- arXiv