How to Avoid Repeating the “Automate Everything” Mistake Due to AI FOMO

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The DevOps community has already experienced technological extremes. You might recall the time when automation was thought of as a panacea for all possible engineering issues, and the slogan “Automate Everything” was ringing out everywhere. Over time, the industry came to an important conclusion: Automation should not become the end goal. Along with faster software delivery, companies ended up with new dependencies, more complex infrastructure, and additional tools that also needed to be maintained. Today, a similar story is unfolding around artificial intelligence. Only instead of the call to automate everything in sight, we’re increasingly hearing a different mantra: Implement AI everywhere. Is this really necessary, though? Why AI Adoption Pressure is Growing in DevOps Three principal factors can be highlighted here. The first one is the pace of change. It’s hard even to mention a week that does not bring news about some AI solution for DevOps: From Terraform generation assistants to GitHub Copilot, Cursor, Kubernetes optimization tools, and AI-powered incident analysis platforms. Second, the success stories. Amid the constant stream of releases, it seems as though the most advanced teams have already completely rebuilt their processes around artificial intelligence. When someone nearby says they’ve cut development time by 30% thanks to AI, it raises perfectly natural questions: “What are we doing?” or “How are we falling short?” However, such figures should be treated with caution. A METR study showed that developers expected a 24% increase in speed and even …

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