GitHub Copilot now includes New Relic observability integrations, letting developers see real‑time telemetry and incident context without leaving GitHub. The preview and GA features roll out to all Copilot users in late October 2026.
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What changed
New Relic introduced three integrations for GitHub Copilot: Change Tracking, Autopilot, and Preflight. Change Tracking links AI‑generated code deployments to production performance, running pre‑merge checks, canary gates, and regression detection against live telemetry. Autopilot connects New Relic’s SRE agent to GitHub’s Model Context Protocol (MCP) server, giving incident‑response teams code‑level context when triaging alerts. Preflight provides developers with local visibility into model efficiency, latency, and token usage while they code.
Who gets it and when
Change Tracking is in public preview, while Autopilot and Preflight are generally available as of the announcement on October 28, 2026. All GitHub Copilot users—individuals, teams, and enterprises—can enable the integrations through their GitHub settings or New Relic account, subject to the preview enrollment for Change Tracking.
How to use it
- Enable the integration: In GitHub, navigate to the Copilot settings and link your New Relic account.
- Configure Change Tracking: Choose a baseline for pre‑merge checks, set canary thresholds, and define regression rules. The integration will automatically compare new code against real‑time performance data.
- Leverage Autopilot: Ensure your GitHub MCP Server is running, then connect the New Relic Autopilot SRE agent. Alerts will now surface code context and suggested fixes directly in GitHub Issues.
- Use Preflight locally: Install the Preflight CLI or IDE plugin to view model latency, token consumption, and suggestion accuracy as you code.
- Respond to insights: When a regression is detected, New Relic routes a GitHub Issue to the responsible developer and can post a suggested fix to Copilot. Teams can also receive Slack notifications for rapid triage.
What it means if you are choosing GitHub Copilot
The integrations give Copilot users immediate feedback on how AI‑generated code performs in production, reducing the gap between code review and real‑world impact. This can shorten triage times and improve confidence in AI‑assisted deployments. However, the preview nature of Change Tracking means some features may still evolve, and teams that rely heavily on existing observability dashboards might prefer a more mature, standalone solution.
Alternatives to consider include Microsoft’s Azure Monitor integration with GitHub Actions for performance alerts, and Datadog’s CI/CD monitoring tools, which also provide telemetry linked to deployments but without the direct Copilot feedback loop.
FAQ
Do I need a New Relic subscription to use the integrations?
Yes, you must have a New Relic account to enable Change Tracking, Autopilot, or Preflight. The integrations work with existing New Relic plans, and the preview does not add separate fees.
Can the integrations be used with any programming language?
The telemetry collection works at the application level, so it supports any language that New Relic can monitor. The Copilot‑specific features focus on the code that Copilot suggests, regardless of language.
What happens if a regression is detected?
New Relic automatically creates a GitHub Issue, tags the relevant developer, and can suggest a fix through Copilot. Teams also receive Slack alerts, allowing rapid response without leaving their workflow.
Bottom line
New Relic’s observability suite brings production‑level insight directly into GitHub Copilot, helping developers close the loop between AI‑generated code and real‑world performance. It’s a solid fit for teams that already use New Relic and want tighter CI/CD feedback, but organizations without an existing observability platform may find other monitoring solutions more straightforward.
Sources
Full guide: GitHub Copilot Review: Features, Pricing, Setup, Pros, Cons, and Best Practices for Smarter Coding — plans, prices and alternatives.