During February 2026, amdfaa focused on improving CI reliability for the pytorch/pytorch repository, specifically targeting ROCm MI200 pipelines. They addressed a configuration issue in the periodic-rocm-mi200 CI by updating the GPU label from linux.rocm.gpu.4 to linux.rocm.gpu.2, ensuring that the reported GPU count accurately reflected the actual hardware used. This change, implemented using YAML and leveraging skills in CI/CD and configuration management, reduced false CI failures and improved the accuracy of hardware coverage metrics. The update enhanced the stability and traceability of ROCm CI jobs, supporting more reliable triage and audit processes for ongoing PyTorch development.