From the course: Accelerate DevOps and Software Development with AI: Modern Tools and Workflows for Enhanced Software Delivery

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How DevOps is changing in the age of AI

How DevOps is changing in the age of AI

From the course: Accelerate DevOps and Software Development with AI: Modern Tools and Workflows for Enhanced Software Delivery

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How DevOps is changing in the age of AI

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- Imagine catching a build failure or even a production incident before it actually happens. That's exactly what AI is enabling through predictive builds and smart monitoring in modern DevOps workflows. Let's start with predictive builds. Traditionally, build systems are reactive. You push code, the CI pipeline runs, and then you find out whether something broke. But with predictive builds, AI flips the timeline. Instead of waiting for a build to fail, AI analyzes historical data to forecast which commits are likely to break things. It does this by looking at features like which files were changed, who made the commit, what dependencies are involved? Did similar changes fail in the past? Over time, the system learns patterns. Maybe every time a certain third party library gets updated, a flaky test fails, or maybe a specific team's commits tend to introduce more regressions in one area of the application. So now when a…

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