The new system moves beyond fixed scripts, utilizing reasoning agents that operate within a company's internal network boundary. Harness provides a centralized Agent Marketplace, allowing teams to deploy pre-built managed solutions or develop custom agents tailored to specific infrastructure needs. Each agent functions as a pipeline-native step, ensuring that every action is recorded, audited, and governed by existing corporate policies.
Harness Introduces Autonomous AI Agents for Enterprise Software Delivery
San Francisco-based Harness has launched Autonomous Worker Agents, a platform designed to automate the post-coding software delivery lifecycle. By integrating AI agents directly into existing CI/CD pipelines, the tool allows enterprises to manage building, testing, and deployment with the same security and governance protocols applied to human-led operations.
Safety remains a core focus of the architecture. Agents operate within isolated sandboxes, utilize scoped credentials, and are subject to the same policy enforcement as human developers. By leveraging the Harness Software Delivery Knowledge Graph, these agents gain context regarding service dependencies, infrastructure maps, and incident history, enabling them to execute complex tasks like Kubernetes troubleshooting or automated remediation of security vulnerabilities. Early adopters, including Verint Systems and United Airlines, report building production-ready agents in as little as four days, significantly reducing the time spent on repetitive operational tasks.
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