New Relic has announced a suite of new integrations with GitHub designed to enhance productivity and streamline the working experience for software developers. The updates, which leverage artificial intelligence, focus on automating code security, strengthening observability, and providing relevant context to developers within the environments they use most often.
Security automation
The integration between New Relic's platform and GitHub Copilot enables the automatic identification and remediation of vulnerabilities in code. This aims to address a longstanding challenge in software development: the proliferation of security alerts and the complexity of managing risks across multiple systems.
With Security RX, developers now have access to buildtime and runtime information about vulnerabilities, alongside details about the actual risk posed by certain issues in live production environments. The integration helps to distinguish between urgent, production-level threats and lower-priority vulnerabilities, cutting down on unnecessary manual checks and allowing teams to prioritise critical issues faster. Security RX can automatically initiate a GitHub issue, laying out the impact, testing and verification steps, and acceptance criteria. GitHub Copilot then creates a corresponding pull request, complete with the data developers need for rapid resolution.
"Agentic AI is everywhere, but developers aren't yet seeing the productivity results they expected. To unlock AI's full potential, development teams need intelligent observability in the tools they use everyday. With our latest integrations with GitHub, we are continuing to deliver on our vision of bringing intelligent observability across the tech ecosystem," said Camden Swita, Head of AI, New Relic.
Instrumentation at deployment
One of the biggest challenges in software deployment is the potential for missing observability instrumentation, which can create blind spots and delay incident detection. To address this, New Relic's new assistant for GitHub Copilot automatically detects and resolves gaps in observability coverage as part of the deployment process.
This means that when a developer creates or updates a service, GitHub Copilot, supported by New Relic, adds instrumentation across the entire stack. This includes Application Performance Monitoring (APM), business logic attributes, a GitHub Action for Change Tracking integration, and a browser agent for front-end monitoring. As a result, deployed services arrive in production with more comprehensive observability, reducing the chance of missed issues and follow-up work after release.
Rich data integration
Another component of the integrations allows developers to bring data about code releases, service architecture, and ownership directly from GitHub into New Relic. This cross-platform data movement streamlines the process of establishing ownership and monitoring standards, while helping teams adopt best practices and automate configuration.
Developer challenges
New Relic highlighted findings from the 2025 Stack Overflow Developer Survey, which indicate that 45% of developers believe debugging AI-generated code is often more time-consuming than writing code from scratch. Additional productivity losses occur from context-switching between disconnected tools and manual troubleshooting.
By using a unified platform, New Relic aims to connect disparate monitoring and development systems, reduce the prevalence of fragmented tooling, and lower the amount of manual work required in the development lifecycle.
According to the company, developers using GitHub Copilot, now exceeding 20 million users, will benefit from faster development cycles and simplified workflows by having observability and automation built into their standard code management tools.
"To unlock AI's full potential, development teams need intelligent observability in the tools they use everyday. With our latest integrations with GitHub, we are continuing to deliver on our vision of bringing intelligent observability across the tech ecosystem," said Swita.
