This project explores how Large Language Model (LLM) based agents can participate as autonomous software developers within an Agile and DevOps workflow. The vision is a development model where a single human acts as Product Owner and reviewer, while multiple AI agents implement small user stories, raise merge requests, and interact with continuous integration (CI) pipelines. The human focuses on defining and reviewing work rather than writing code directly.

This project contributes to emerging research on AI-driven software engineering and autonomous DevOps, aligning with recent work on SWE-Agent, AutoCodeRover, and AI-assisted CI/CD. It examines how human oversight and automated intelligence can coexist in Agile development, offering insight into the future structure of hybrid human-AI software teams.