Improving developer productivity with New Relic AI

New Relic Ground Truth connects AI coding agents to live operational data through the open Model Context Protocol (MCP), giving developers access to telemetry, logs, traces, deployments, alerts, and metrics without leaving their editor or terminal. It translates natural-language requests into NRQL queries, helping developers investigate errors, assess deployment health, examine latency, and identify production regressions without manually searching dashboards. Examples include Claude Code generating deployment health reports and beginning fixes, Kiro using production CPU and memory data to recommend Infrastructure as Code right-sizing changes, and GitHub Copilot detecting missing observability coverage, creating remediation issues, and implementing fixes through pull requests. New Relic also describes custom GitHub agents for incident analysis and emphasizes that its MCP Server works across supported AI environments rather than being tied to a single vendor. The company positions this production context as a way to reduce context switching, speed root-cause analysis and incident resolution, and improve developer productivity, with OAuth or API-key authentication and setup documentation available for adoption.

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.