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AI-generated code security is the part nobody plans for. Ross Hendrickson, CTO of Inspectiv, on what happens after the AI writes it. He can think of a feature and ship it the same day, generating more code than a week of writing it by hand would have produced. The vulnerabilities don't disappear along with the typing. Something still has to review what was generated, secure it, and get it out the door without becoming the new bottleneck.

In this episode of the Grafana OTel Community Call, we're joined by Sonal Gaud, code owner of otelhttp on opentelemetry-go-contrib. We'll trace her path from writing test-coverage PRs to owning the instrumentation library that most Go services use to get HTTP traces and metrics for free — and go deep on how otelhttp actually works under the hood: context propagation, metrics/attributes via the Labeler, route cardinality, and how the library evolves alongside HTTP semantic conventions.

Grafana's Knowledge Graph builds a contextual layer on top of your telemetry data, automatically extracting entities and relationships so you can see how your services actually connect. In this deep dive, Jia show how it powers root-cause investigation both in the Grafana UI and through agentic workflows using gcx and Claude Code. Learn more about Grafana's observability tools and try Knowledge Graph for your own telemetry data at grafana.com.

Watch our CEO build a 100 gig port live in less than two minutes.

Is your IT team still chasing alerts? See how ignio AIOps from Digitate helps enterprises move from reactive IT to autonomous operations.

Read more: https://www.speedscale.com/blog/test-ai-code-with-traffic-replay/