  Software agents have emerged as promising tools for addressing complex
software engineering tasks. Existing works, on the other hand, frequently
oversimplify software development workflows, despite the fact that such
workflows are typically more complex in the real world. Thus, we propose
AgileCoder, a multi agent system that integrates Agile Methodology (AM) into
the framework. This system assigns specific AM roles - such as Product Manager,
Developer, and Tester to different agents, who then collaboratively develop
software based on user inputs. AgileCoder enhances development efficiency by
organizing work into sprints, focusing on incrementally developing software
through sprints. Additionally, we introduce Dynamic Code Graph Generator, a
module that creates a Code Dependency Graph dynamically as updates are made to
the codebase. This allows agents to better comprehend the codebase, leading to
more precise code generation and modifications throughout the software
development process. AgileCoder surpasses existing benchmarks, like ChatDev and
MetaGPT, establishing a new standard and showcasing the capabilities of multi
agent systems in advanced software engineering environments.
