Forward-Deployed Full-Stack Engineering for Autonomous Cloud MLOps
The paper proposes a gated agent system that only advances MLOps work when execution or runtime evidence supports the next step.
Its orchestrator assigns agents to generate repositories, review work, execute artifacts, verify results, release, and monitor deployments. Failed checks trigger bounded repair and re-verification, while runtime failures or policy violations can trigger recovery or rollback. The authors say they implemented the framework on Google Cloud Platform and evaluated repository completeness, controlled execution, promotion, and recovery. ArXiv · AI/CL/LG's note
Its orchestrator assigns agents to generate repositories, review work, execute artifacts, verify results, release, and monitor deployments. Failed checks trigger bounded repair and re-verification, while runtime failures or policy violations can trigger recovery or rollback. The authors say they implemented the framework on Google Cloud Platform and evaluated repository completeness, controlled execution, promotion, and recovery. ArXiv · AI/CL/LG's note
score 4