Definition: An open-source framework for building software with AI, using specialised agent personas (such as Analyst, Product Manager, Architect, Developer and QA) that work through structured, phase-by-phase workflows mirroring a real engineering team. It defines what each agent does and what artefacts they produce, and can sit alongside existing agile approaches like Scrum or Kanban rather than replacing them.
So what? It brings agile structure and documentation to AI-assisted development so outputs are more repeatable and context carries forward between phases, addressing a common failure point where intent is lost across a long conversation.
Example: A planning phase produces specifications that are then split into self-contained story files, each carrying the requirements, constraints and acceptance criteria a Developer or QA agent needs to complete that unit of work.
So what? It brings agile structure and documentation to AI-assisted development so outputs are more repeatable and context carries forward between phases, addressing a common failure point where intent is lost across a long conversation.
Example: A planning phase produces specifications that are then split into self-contained story files, each carrying the requirements, constraints and acceptance criteria a Developer or QA agent needs to complete that unit of work.
