Editorial analysis: For practitioners, pipeline-native autonomous agents shift the integration point for LLM-powered automation into CI/CD pipelines, raising priorities around agent-level governance, model selection per workflow, and cost telemetry. DevOps.com reports that Harness today introduced pipeline-native autonomous AI agents that run in sandbox containers and integrate with the Harness Model Context Protocol (MCP) Server, Worker Agents, an LLM Gateway, and the Harness Software Delivery Knowledge Graph. DevOps.com reports each agent has a distinct identity and permissions set, can switch between model providers per agent or environment, and surfaces token consumption and spending per agent and per pipeline. DevOps.com reports Harness is offering prebuilt agents via a Harness Agent Marketplace, including Autofix, Code Review, Code Coverage, Feature Flag Cleanup, Manifest Remediator, and IaCM Remediation agents. The Harness product page also describes pipeline-native AI agents and governance controls.
AI agents: Cause of database sprawl. And also the proposed solution