Harness Agent DLC: Secure the Agent Lifecycle
Blog post from Harness
Harness is expanding its platform to support the development and deployment of AI agents by introducing a comprehensive Agent Development Lifecycle (DLC) framework. This framework allows organizations to build, test, deploy, operate, and govern AI agents using the same tools and processes they use for traditional software. AI agents, which are inherently non-deterministic and can dynamically adapt their actions based on context, require a new approach to testing and governance. Harness addresses these challenges with features such as AI Evals for quality assessment, AI Test Automation for testing within chat interfaces, and Artifact Registry for managing agent components. The platform also offers robust deployment options, including integration with managed runtimes like Amazon Bedrock AgentCore and Google’s Agent Runtime. Furthermore, Harness provides tools for cost management, security, and governance, ensuring that AI agents can be deployed safely and efficiently, while also offering visibility into their operation through AgentTrace. This initiative aims to help organizations overcome the challenges of bringing agentic AI into production, as noted by Gartner's finding that only a small percentage of organizations have achieved this.
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
|---|---|---|---|---|---|
| Kubernetes | 15 | 2,550 | 356 | 111 | +22% |
| AI Agents | 13 | 5,949 | 1,325 | 249 | -4% |
| LLM | 3 | 7,115 | 1,261 | 236 | +13% |
| Observability | 3 | 3,826 | 727 | 190 | -10% |
| AI Guardrails | 1 | 514 | 204 | 57 | -2% |
| Developer Experience | 1 | 547 | 257 | 91 | +27% |
| MCP | 1 | 7,781 | 805 | 204 | +0% |
| Secrets Management | 1 | 2,472 | 449 | 128 | -3% |
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