New Relic has unveiled an open-source AI coding observability solution designed to help enterprises monitor, govern and audit AI-assisted software development as adoption of coding assistants accelerates.
New Relic has announced the development of New Relic AI Coding Observability, an open-source observability solution aimed at helping organisations monitor and manage the growing use of AI coding assistants in enterprise software development environments.
Designed as a vendor-neutral observability layer, the feature seeks to standardise telemetry across multiple AI coding tools rather than tying organisations to a single ecosystem. The initiative addresses a growing challenge as enterprises increasingly adopt several AI coding assistants, creating fragmented development environments and limiting visibility into AI-assisted workflows.
Many AI coding tools operate outside traditional observability frameworks, leaving organisations with gaps in monitoring, governance and auditing capabilities. New Relic AI Coding Observability aims to extend observability into the coding phase of the software development lifecycle, providing insight into how AI-generated code is created and managed.
The platform is intended to enable organisations to track AI-assisted development activities, govern the use of AI coding tools and audit AI-driven software development processes. It also connects coding-stage telemetry with existing production infrastructure monitoring, creating a more comprehensive view of software delivery workflows.
By providing unified visibility across multiple AI coding assistants, the solution is expected to help enterprises assess the impact of AI-assisted development on software quality, operational workflows and enterprise risk while reducing fragmentation across development environments.
The launch comes as AI coding assistant adoption continues to rise. Gartner estimates that 90% of enterprise software engineers will be using AI coding assistants by 2028, increasing the need for governance, visibility and observability across AI-driven development processes.
