Harness AI Configs for Runtime Controls of AI Behavior
Blog post from Harness
Harness AI Config Management is a system designed to address the challenges of managing AI behavior changes in production environments without the need for code redeployment. As AI agents continuously evolve, the system facilitates rapid and governed adjustments to AI prompts, models, and parameters, enabling targeted, versioned, and auditable changes. By using AI Configs, teams can experiment with different AI behaviors, measure their impact, and iterate based on data, all while maintaining governance through features like role-based access control, approvals, and audit logs. This approach allows product teams to quickly adapt AI capabilities to optimize accuracy, cost, response times, and customer satisfaction while minimizing the risks associated with ungoverned changes.
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
|---|---|---|---|---|---|
| Kubernetes | 13 | 2,550 | 356 | 111 | +22% |
| AI Agents | 4 | 5,949 | 1,325 | 249 | -4% |
| Harness engineering | 2 | 222 | 129 | 60 | -13% |
| Observability | 2 | 3,826 | 727 | 190 | -10% |
| Developer Experience | 1 | 547 | 257 | 91 | +27% |
| LLM | 1 | 7,115 | 1,261 | 236 | +13% |
| Platform Engineering | 1 | 1,257 | 305 | 77 | -22% |
| Secrets Management | 1 | 2,472 | 449 | 128 | -3% |
Use this post, company, and trend context to find content marketing opportunities, perform competitive analysis, or address product feature gaps via the Plushcap MCP server or the Plushcap API.