The rise of AI agents is pushing DevOps platforms to evolve. This article examines how Harness, a popular CI/CD and software delivery platform, is being leveraged for AI agent development. It covers engineering workflows, integration patterns, and lifecycle management for agents, reflecting a broader industry trend where traditional DevOps tools adapt to handle AI-specific tasks like model deployment, monitoring, and iterative improvement. For engineering leaders, this signals an opportunity to unify AI and software delivery pipelines, reducing friction in agent development. While the article is practical, it serves as an introductory guide rather than a deep dive, making it a useful signal for teams exploring AI agent infrastructure.
How the Harness platform is being used to develop and manage AI agents, signaling a shift in DevOps for AI workflows.