Intelligent Agents, Intelligent Observability: A Developer’s Guide to AI Workflows

About this talk

Developers don’t hate debugging—they hate switching between tools, logs, and dashboards that disrupt workflows and productivity. Finding the root cause of a slow endpoint or failing service often means jumping between platforms, turning troubleshooting into a scavenger hunt.

This session shows how integrating AI agents with observability platforms transforms debugging by unifying code analysis and performance monitoring into one interface. See a live workflow where LLM call traces, token usage, error rates, and latency data appear alongside traditional telemetry—accessible to an AI agent that autonomously investigates issues.

· How observability captures LLM spans like database queries
· Connecting AI agents to observability with simple configuration
· Debugging without leaving the development environment

Discover how this approach makes debugging a seamless part of development. Watch the session to see it in action.