How AI is reshaping DevOps workflows in modern development

It feels like DevOps has already gone through several big shifts with automation, cloud infrastructure, and CI/CD, but now AI is starting to change things even further. Instead of just automating pipelines, teams are beginning to use AI for monitoring, anomaly detection, and even assisting with debugging or incident response. This raises interesting questions about how much of the workflow can realistically be optimized without losing control or transparency. I found a good overview of this here best ai tools for devops 2026 which explains how AI is being integrated into DevOps processes and what kind of impact it has on efficiency and reliability.