Build ML Pipelines with Claude Code inside Hopsworks

Coding agents can help accelerate the development of ML pipelines (feature pipelines, training pipelines, and inference pipelines). But if you develop outside your cluster and then deploy your changes, it will negatively impact your iteration speed.

In this live demo, we walk you through how to develop and deploy ML pipelines inside a governed and secure Hopsworks cluster using Claude Code. Hopsworks provides Claude a secure and audited compute environment (Python, Spark, GPUs) as well as persistent storage across sessions with files on HopsFS.

You will see how we can reduce the time to building and deploying AI systems to minutes, instead of days or weeks.