Next-Generation DevOps: Cooperative AI Agents for Fully Autonomous Deployment Pipelines

Abstract

In the context of the rapid acceleration of software delivery abilities, it can be challenging to find DevOps pipelines that can support the increasing complexity and demand for high availability. This research will consider using cooperative AI agents in a DevOps pipeline to achieve complete automation, resilience, and minimum reliance on human involvement. Given agent-oriented programming, practical simulation models, and examples from the industry, it will consider design frameworks, benchmark performance, and ethical concerns like transparency and accountability associated with AI agents. Additionally, there will establish a scalable model for intelligent self-managing pipelines under the modern delivery needs, with important governance issues. The instances of relevant case studies of Microsoft and IBM provide a significant understanding. This paper investigates how cooperative AI actors can become a part of next-generation DevOps to achieve autonomous deployment pipelines in a fully autonomous way. It collects secondary data through industry measurements and case studies to examine the trends in investments, use of technology and efficiency of the systems. The results indicate an increased use of AI in DevOps, with references to IBM and Microsoft to back them up, and it was proved that the idea of intelligent agent coordination is both possible and must be implemented.