New Relic used its New Relic Now 2026 event to highlight general availability AI Observability features for production AI applications, preview Preflight for AI-generated code checks, and outline related monitoring tools for AI-assisted software development.
New Relic highlighted AI observability and AI-generated code reliability tools during its New Relic Now 2026 virtual event on June 23.
New Relic said its New Relic Now 2026 event focused on the operational risks that come with AI-assisted software development and production AI applications. According to the company’s event page, the virtual event addressed AI observability, production risks from AI-generated code, and demonstrations of both generally available and preview capabilities.
In a June 23 press release, New Relic said it showcased general availability capabilities for monitoring production large language model applications, vector databases, and AI framework behavior. The company positioned these features as part of its AI Observability offering, aimed at helping engineering teams understand how AI systems behave after deployment.
New Relic’s June 2026 event round-up described observability as “the trust layer for AI-driven development” and summarized several announcements from the event, including AI Observability, Preflight, ChatGPT App Monitoring, Autopilot, and Ground Truth.
New Relic said its AI Observability capabilities are designed for teams running AI applications in production. The company’s press release specifically cited visibility into LLM application behavior, vector databases, and AI framework activity.
Those areas have become important operational concerns as software teams move AI features from prototypes into customer-facing products. Vector databases are often used to retrieve relevant information for LLM-based applications, while AI frameworks help developers build and orchestrate model-powered features. New Relic’s announcement suggests its monitoring focus is on the supporting systems around AI applications, not only the model output itself.
The company’s event page also emphasized live demonstrations of generally available and preview features, with speakers from New Relic and LaunchDarkly. New Relic did not frame the event as a single product launch; instead, its own materials describe a broader set of observability features for teams adopting AI across development and operations.
New Relic also highlighted Preflight, a preview capability intended to provide real-time observability for AI coding tools. In its press release, New Relic described Preflight as a way to help teams evaluate AI-generated code before it reaches production.
The company’s event page tied the feature to concerns about production risk from AI-generated code. That framing reflects a practical issue for engineering teams: AI coding assistants can speed up development, but code still needs to be checked for reliability, performance, and operational impact.
New Relic’s round-up grouped Preflight with other event announcements, including Autopilot and Ground Truth. Based on New Relic’s descriptions, the common theme is using observability data to support AI-assisted development and production operations.
New Relic’s event materials also mention ChatGPT App Monitoring, Autopilot, and Ground Truth, though the source excerpts provide fewer details on each capability. The company’s round-up lists them as part of the June 2026 announcements and places them under the broader theme of observability for AI-driven development.
The announcement comes as software organizations are increasingly trying to measure not only whether AI features work, but how they affect latency, cost, reliability, and user experience in real deployments. New Relic’s materials focus on giving teams more visibility across AI applications and the development processes that produce them.
Because the available sources are New Relic’s own press release, event page, and company blog round-up, the claims should be read as the company’s description of its product direction and event announcements. The sources do not provide independent benchmark results or third-party evaluations of the tools’ effectiveness.
New Relic’s New Relic Now announcements show how observability vendors are adapting their products for AI-era software development. The company is extending monitoring from traditional application performance into AI application behavior, supporting infrastructure such as vector databases, and AI-generated code review workflows.
For teams deploying LLM-powered features, the practical question is less whether AI can generate code or responses, and more whether those systems can be operated safely, measured consistently, and improved when problems occur. New Relic’s latest messaging places its observability platform directly in that reliability discussion.
New Relic highlighted AI observability and AI generated code reliability tools during its New Relic Now 2026 virtual event on June 23.
According to the company’s event page, the virtual event addressed AI observability, production risks from AI generated code, and demonstrations of both generally available and preview capabilities.
In a June 23 press release, New Relic said it showcased general availability capabilities for monitoring production large language model applications, vector databases, and AI framework behavior.
Continue reading
