Agents keep changing their answers. Harness just built delivery pipelines that don’t care.
The New Stack Adrian Bridgwater
Harness launched an AI Agent Development Lifecycle service that applies traditional software delivery controls—testing, governance, and security gates—to AI agents, addressing the fact that agents produce non-deterministic outputs that make production deployment risky. The service includes five new products spanning testing, deployment, and operations, with features like AI Evals for quality measurement and AgentTrace for recording agent execution paths. This allows organizations to deploy agents to production with the same rigor as application code, potentially enabling faster agentic deployments beyond the 17% of organizations currently running agents in production.
Why it matters
Software delivery lifecycle company (SDLC) Harness wants to put agents through the same pipelines and controls that all application code The post Agents keep changing their answers. Harness just built delivery pipelines that don’t care. appeared first on The New Stack.
