Evaluating AI in DevOps: Strategies to Identify Effective Tools and Mitigate Risks

A DevOps team tested multiple agentic AI tools and found mixed results: some increased risk or extra work, while others reduced workload.

Tools that helped included summarizing changes, reviewing pull requests, and correlating alerts, improving day-to-day operations.

The team’s takeaway: use AI only when it lowers cognitive load without reducing precision.

Humans should keep control of critical actions to avoid failures, security issues, and trust problems.