Your production agents are already generating high-value training data. It's in your OTEL traces.
Learn how to turn production telemetry into datasets for fine-tuning SLMs, then safely roll them out with evaluation gates and canary releases.
🎬 Watch now: https://bit.ly/4pGpCCx
Ben O'Mahony discusses building custom AI-powered Language Server Protocols (LSPs) that go beyond standard rule-based checkers. He explains how to instrument AI agents natively with OpenTelemetry to track concrete user actions (accepting, dismissing, or regenerating code fixes) as implicit labels, creating a continuous data flywheel to distill frontier capabilities into cheaper, local SLMs.
bit.ly
Comments (0)