Scrum in the Era of Agentic Software Development

Agentic coding, where AI-driven agents autonomously write, test, debug, and refactor code, represents a significant shift that could substantially impact traditional Scrum practices. Far from a distant possibility, agentic coding is already being demonstrated today. For instance, GitHub Copilot can manage entire coding workflows autonomously: Create a dedicated branch. Analyze the existing codebase and the reported issue. Develop and apply a solution. Test the solution comprehensively. Generate new unit tests. Execute all unit tests. Create a Pull Request (PR). Validate the implemented fix. Assign the PR back to a human reviewer. For developers, this represents a significant shift. For software managers, it introduces both substantial opportunities and challenges. Scrum processes, in particular, will experience significant adaptation as AI becomes integral to software development. Impacts of Agentic Coding on Scrum Practices: Scrum Framework Impact ...