Agentic AI in DevOps: Architecting Autonomous Infrastructure

Aditya Kashyap discusses the evolution from traditional automation in DevOps to the emerging concept of Agentic AI, which represents a significant paradigm shift in operational philosophy. Unlike conventional automation, which is deterministic and brittle, Agentic AI offers a more dynamic approach by running scripts, detecting errors, analyzing logs, and applying fixes autonomously, effectively creating a "synthetic brain" for operations. This transition is framed within the C-P-A Model (Context, Planning, Action), transforming large language models into decision engines through perception, memory, reasoning, and tool use. Agentic AI enables the creation of "Living Architecture," ensuring infrastructure diagrams remain accurate by detecting and correcting deviations in real-time, and supports intent-based provisioning for optimized resource management. As DevOps evolves, the role of engineers shifts from scriptwriters to designers of Cognitive Architectures, managing AI-driven systems that autonomously handle tasks, improve governance, and speed up delivery processes. This transformation will unfold across three horizons, gradually increasing the autonomy of AI agents, culminating in a future where humans oversee policies and goals while AI manages routine operations. Kashyap emphasizes that rather than replacing engineers, AI will elevate their roles, allowing them to focus on strategic design and oversight.