Google publishes a reproducible agent-authored MLOps pipeline workflow
Google published a runnable Data Agent Kit workflow that uses a declarative orchestration format to generate training, batch-inference and drift-evaluation pipelines, then deploy them to Managed Service for Apache Airflow. The kit integrates with VS Code, Antigravity, Claude Code and Codex and includes pipeline skills plus reference files.
Why it matters: The useful artifact is not a generic agent claim but a complete example spanning authoring, CI/CD, execution, evaluation, branching and troubleshooting. Teams can inspect where generated pipeline code still needs deterministic validation and operational…