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New Relic Introduces AI Coding Observability to Bring Critical Visibility and Governance to AI Coding Assistants
Solution will empower engineering and platform leaders with unified cost, security, and performance insight across AI coding tools like Claude Code, Cursor and GitHub Copilot New Relic today announced development of a new open-source feature called New Relic AI Coding Observability, an observability solution designed specifically for AI-assisted software development. As engineering organizations adopt AI coding assistants at a breakneck pace, these tools often operate outside the traditional observability stack, creating significant blind spots across the business. New Relic AI Coding Observability aims to address these operational gaps by extending production-grade monitoring directly into the coding phase of the software lifecycle, transforming fragmented, unmonitored AI usage into a highly governed, optimized and auditable enterprise advantage. "You can't manage what you can't see. AI coding assistants are having a measurable impact on businesses, but without real-time oversight into how they're behaving, organizations are scaling risk as fast as they're scaling output," said New Relic Chief Product Officer Brian Emerson. "New Relic AI Coding Observability will close this gap, removing barriers to quality innovation that succeeds in production." Bringing enterprise-grade rigor to the AI coding phase AI coding tools are now producing more code than ever, as Gartner predicts that 90% of enterprise software engineers will use AI code assistants by 2028. However, engineering organizations rarely standardize on just one AI tool. Instead, developers leverage a highly fragmented mix of coding assistants depending on the task. New Relic AI Coding Observability is being designed to future-proof development strategies and introduce a unified, vendor-neutral pane of glass that normalizes telemetry across the major AI coding assistants and correlates it seamlessly with existing production infrastructure. Key features and benefits of New Relic AI Coding Observability will include: * Gain insights into code development actions - Teams will be able to move away from blind trust in their AI coding tools to gaining comprehensive insights into how these tools are actually behaving as applications and services are developed. * Exercise cost control - AI coding assistants are a rapidly growing line item, yet most organizations treat them as an unmonitored expense. New Relic AI Observability will allow teams to track AI spend and eliminate black box invoices, and forecast spend against budgets and alert before thresholds are hit. * Enhance productivity metrics - To understand productivity gains from coding assistant use, the capability will replace anecdotal success stories with hard data and catch inefficiencies and hidden failure modes. * Ensure security and compliance - Local-only / zero-outbound mode will run queries entirely within the user's private network, guaranteeing data sovereignty, privacy and regulatory compliance. * Receive strong code transparency - Will eliminate black-box AI skepticism by providing fully readable, open-source and source-available code, empowering engineering and security teams to independently verify data privacy protocols and AI reasoning with certainty. * Avoid vendor lock-in - Backed natively by the OpenTelemetry protocol and Model Context Protocol (MCP), the feature will deliver true vendor-neutrality that allows organizations to seamlessly port their telemetry data and AI workflows across any cloud ecosystem or language model provider.
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New Relic Announces New Relic AI Coding Observability Solution
New Relic announced development of a new open-source feature called New Relic AI Coding Observability, an observability solution designed specifically for AI-assisted software development. New Relic AI Coding Observability aims to address operational gaps by extending production-grade monitoring directly into the coding phase of the software lifecycle, transforming fragmented, unmonitored AI usage into a highly governed, optimized and auditable enterprise advantage. New Relic AI Coding Observability is being designed to future-proof development strategies and introduce a unified, vendor-neutral pane of glass that normalizes telemetry across the major AI coding assistants and correlates it seamlessly with existing production infrastructure. Key features and benefits of New Relic AI Coding Observability will include: Gain insights into code development actions - Teams will be able to move away from blind trust in their AI coding tools to gaining comprehensive insights into how these tools are actually behaving as applications and services are developed. Exercise cost control - AI coding assistants are a rapidly growing line item, yet most organizations treat them as an unmonitored expense. New Relic AI Observability will allow teams to track AI spend and eliminate black box invoices, and forecast spend against budgets and alert before thresholds are hit. Enhance productivity metrics - To understand productivity gains from coding assistant use, the capability will replace anecdotal success stories with hard data and catch inefficiencies and hidden failure modes. Ensure security and compliance - Local-only /zero-outbound mode will run queries entirely within the user?s private network, guaranteeing data sovereignty, privacy and regulatory compliance. Receive strong code transparency - Will eliminate black-box AI skepticism by providing fully readable, open-source and source-available code, empowering engineering and security teams to independently verify data privacy protocols and AI reasoning with certainty. Avoid vendor lock-in - Backed natively by the OpenTelemetry protocol and Model Context Protocol (MCP), the feature will deliver true vendor-neutrality that allows organizations to seamlessly port their telemetry data and AI workflows across any cloud ecosystem or language model provider. Provides broad coding assistant coverage - Will support Claude Code, Cursor, GitHub Copilot, Windsurf and Amazon Q. New Relic AI Coding Observability will be available as an open-source feature on June 23 at no additional cost. Standard New Relic ingest rates apply, with local-only mode also available soon.
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New Relic unveiled AI Coding Observability, an open-source solution designed to bring visibility and governance to AI coding assistants like GitHub Copilot, Claude Code, and Cursor. The feature addresses critical blind spots as organizations rapidly adopt AI tools, providing unified monitoring for cost, security, and performance across fragmented development environments.
New Relic announced development of AI Coding Observability, an open-source solution designed to monitor AI-assisted software development at a time when engineering teams face mounting challenges with ungoverned AI tools
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. As AI coding assistants proliferate across enterprises, they often operate outside traditional monitoring frameworks, creating significant operational blind spots that scale risk alongside productivity gains. The solution extends production-grade monitoring directly into the coding phase of the software lifecycle, transforming fragmented AI usage into a governed and auditable enterprise advantage."You can't manage what you can't see. AI coding assistants are having a measurable impact on businesses, but without real-time oversight into how they're behaving, organizations are scaling risk as fast as they're scaling output," said New Relic Chief Product Officer Brian Emerson
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. The timing proves critical as Gartner predicts that 90% of enterprise software engineers will use AI code assistants by 2028, yet most organizations lack standardized oversight across the fragmented mix of tools their developers deploy.The feature provides a vendor-neutral monitoring layer that normalizes telemetry across major platforms including GitHub Copilot, Claude Code, Cursor, Windsurf, and Amazon Q
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. This unified approach addresses a fundamental challenge: engineering organizations rarely standardize on a single AI tool, instead leveraging different coding assistants depending on specific tasks. By correlating this data seamlessly with existing production infrastructure, teams gain insights into code development actions and move away from blind trust toward comprehensive understanding of how these tools actually behave during application development.AI coding assistants represent a rapidly growing expense line that most organizations treat as an unmonitored cost. New Relic AI Coding Observability enables teams to track AI spend, eliminate black box invoices, and forecast expenditures against budgets with alerts before thresholds are breached
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. This financial visibility matters as companies scale their AI adoption without clear understanding of return on investment or spending patterns across different tools and teams.The solution replaces anecdotal success stories with hard data, allowing organizations to catch inefficiencies and hidden failure modes in their AI-assisted workflows
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. This shift from subjective assessments to quantifiable productivity metrics enables engineering leaders to make informed decisions about tool adoption, training investments, and workflow optimization based on actual performance data rather than developer sentiment alone.Related Stories
A local-only, zero-outbound mode runs queries entirely within the user's private network, guaranteeing data sovereignty, privacy, and regulatory compliance
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. This architecture addresses critical security concerns as organizations grapple with sensitive code and proprietary information flowing through third-party AI services. The code transparency provided through fully readable, open-source code empowers engineering and security teams to independently verify data privacy protocols and AI reasoning, eliminating black-box skepticism that often hinders enterprise AI adoption.Backed natively by OpenTelemetry protocol and Model Context Protocol (MCP), the feature delivers true vendor-neutrality that allows organizations to seamlessly port telemetry data and AI workflows across any cloud ecosystem or language model provider
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. This standards-based approach future-proofs development strategies as the AI coding landscape continues to evolve rapidly. New Relic AI Coding Observability will be available as an open-source solution on June 23 at no additional cost, with standard New Relic ingest rates applying and local-only mode coming soon.Summarized by
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